山田 誠

Last Update: 2019/11/18 14:54:28

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Name(Kanji/Kana/Abecedarium Latinum)
山田 誠/ヤマダ マコト/YAMADA, MAKOTO
Primary Affiliation(Org1/Job title)
Graduate Schools Informatics/Associate Professor
Affiliated programs (koza)
Org1 Job title
Graduate Schools Pharmaceutical Sciences Assistant Professor
Faculty
Org1 Job title
工学部
Academic Degree
Field(Japanese) Field(English) University(Japanese) University(English) Method
修士(工学) Colorado State University
博士(統計科学) 総合研究大学院大学
Personal Website(s) (URL(s))
URL
https://riken-yamada.github.io
researchmap URL
https://researchmap.jp/myamada0
Published Papers
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
Kobayashi H, Lei C, Wu Y, Huang CJ, Yasumoto A, Jona M, Li W, Wu Y, Yalikun Y, Jiang Y, Guo B, Sun CW, Tanaka Y, Yamada M, Yatomi Y, Goda K Kobayashi H, Lei C, Wu Y, Huang CJ, Yasumoto A, Jona M, Li W, Wu Y, Yalikun Y, Jiang Y, Guo B, Sun CW, Tanaka Y, Yamada M, Yatomi Y, Goda K Kobayashi H, Lei C, Wu Y, Huang CJ, Yasumoto A, Jona M, Li W, Wu Y, Yalikun Y, Jiang Y, Guo B, Sun CW, Tanaka Y, Yamada M, Yatomi Y, Goda K Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia. Lab on a chip, 19, 16, 2688-2698 Lab on a chip, 19, 16, 2688-2698 Lab on a chip, 19, 16, 2688-2698 2019/08 Refereed Disclose to all
Isozaki A, Mikami H, Hiramatsu K, Sakuma S, Kasai Y, Iino T, Yamano T, Yasumoto A, Oguchi Y, Suzuki N, Shirasaki Y, Endo T, Ito T, Hiraki K, Yamada M, Matsusaka S, Hayakawa T, Fukuzawa H, Yatomi Y, Arai F, Di Carlo D, Nakagawa A, Hoshino Y, Hosokawa Y, Uemura S, Sugimura T, Ozeki Y, Nitta N, Goda K Isozaki A, Mikami H, Hiramatsu K, Sakuma S, Kasai Y, Iino T, Yamano T, Yasumoto A, Oguchi Y, Suzuki N, Shirasaki Y, Endo T, Ito T, Hiraki K, Yamada M, Matsusaka S, Hayakawa T, Fukuzawa H, Yatomi Y, Arai F, Di Carlo D, Nakagawa A, Hoshino Y, Hosokawa Y, Uemura S, Sugimura T, Ozeki Y, Nitta N, Goda K Isozaki A, Mikami H, Hiramatsu K, Sakuma S, Kasai Y, Iino T, Yamano T, Yasumoto A, Oguchi Y, Suzuki N, Shirasaki Y, Endo T, Ito T, Hiraki K, Yamada M, Matsusaka S, Hayakawa T, Fukuzawa H, Yatomi Y, Arai F, Di Carlo D, Nakagawa A, Hoshino Y, Hosokawa Y, Uemura S, Sugimura T, Ozeki Y, Nitta N, Goda K A practical guide to intelligent image-activated cell sorting. A practical guide to intelligent image-activated cell sorting. A practical guide to intelligent image-activated cell sorting. Nature protocols, 14, 8, 2370-2415 Nature protocols, 14, 8, 2370-2415 Nature protocols, 14, 8, 2370-2415 2019/08 Refereed Disclose to all
Héctor Climente-González,Chloé-Agathe Azencott,Samuel Kaski,Makoto Yamada Héctor Climente-González,Chloé-Agathe Azencott,Samuel Kaski,Makoto Yamada Héctor Climente-González,Chloé-Agathe Azencott,Samuel Kaski,Makoto Yamada Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinformatics, 35, 14, i427-i435 Bioinformatics, 35, 14, i427-i435 Bioinformatics, 35, 14, i427-i435 2019 Refereed Disclose to all
Heewon Park,Makoto Yamada,Seiya Imoto,Satoru Miyano Heewon Park,Makoto Yamada,Seiya Imoto,Satoru Miyano Heewon Park,Makoto Yamada,Seiya Imoto,Satoru Miyano Robust Sample-Specific Stability Selection with Effective Error Control. Robust Sample-Specific Stability Selection with Effective Error Control. Robust Sample-Specific Stability Selection with Effective Error Control. Journal of Computational Biology, 26, 3, 202-217 Journal of Computational Biology, 26, 3, 202-217 Journal of Computational Biology, 26, 3, 202-217 2019 Refereed Disclose to all
Makoto Yamada,Denny Wu,Yao-Hung Hubert Tsai,Hirofumi Ohta,Ruslan Salakhutdinov,Ichiro Takeuchi,Kenji Fukumizu Makoto Yamada,Denny Wu,Yao-Hung Hubert Tsai,Hirofumi Ohta,Ruslan Salakhutdinov,Ichiro Takeuchi,Kenji Fukumizu Makoto Yamada,Denny Wu,Yao-Hung Hubert Tsai,Hirofumi Ohta,Ruslan Salakhutdinov,Ichiro Takeuchi,Kenji Fukumizu Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 2019 Refereed Disclose to all
Shonosuke Harada,Kazuki Taniguchi,Makoto Yamada,Hisashi Kashima Shonosuke Harada,Kazuki Taniguchi,Makoto Yamada,Hisashi Kashima Shonosuke Harada,Kazuki Taniguchi,Makoto Yamada,Hisashi Kashima Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 2019 Refereed Disclose to all
Nitta N, Sugimura T, Isozaki A, Mikami H, Hiraki K, Sakuma S, Iino T, Arai F, Endo T, Fujiwaki Y, Fukuzawa H, Hase M, Hayakawa T, Hiramatsu K, Hoshino Y, Inaba M, Ito T, Karakawa H, Kasai Y, Koizumi K, Lee S, Lei C, Li M, Maeno T, Matsusaka S, Murakami D, Nakagawa A, Oguchi Y, Oikawa M, Ota T, Shiba K, Shintaku H, Shirasaki Y, Suga K, Suzuki Y, Suzuki N, Tanaka Y, Tezuka H, Toyokawa C, Yalikun Y, Yamada M, Yamagishi M, Yamano T, Yasumoto A, Yatomi Y, Yazawa M, Di Carlo D, Hosokawa Y, Uemura S, Ozeki Y, Goda K Nitta N, Sugimura T, Isozaki A, Mikami H, Hiraki K, Sakuma S, Iino T, Arai F, Endo T, Fujiwaki Y, Fukuzawa H, Hase M, Hayakawa T, Hiramatsu K, Hoshino Y, Inaba M, Ito T, Karakawa H, Kasai Y, Koizumi K, Lee S, Lei C, Li M, Maeno T, Matsusaka S, Murakami D, Nakagawa A, Oguchi Y, Oikawa M, Ota T, Shiba K, Shintaku H, Shirasaki Y, Suga K, Suzuki Y, Suzuki N, Tanaka Y, Tezuka H, Toyokawa C, Yalikun Y, Yamada M, Yamagishi M, Yamano T, Yasumoto A, Yatomi Y, Yazawa M, Di Carlo D, Hosokawa Y, Uemura S, Ozeki Y, Goda K Nitta N, Sugimura T, Isozaki A, Mikami H, Hiraki K, Sakuma S, Iino T, Arai F, Endo T, Fujiwaki Y, Fukuzawa H, Hase M, Hayakawa T, Hiramatsu K, Hoshino Y, Inaba M, Ito T, Karakawa H, Kasai Y, Koizumi K, Lee S, Lei C, Li M, Maeno T, Matsusaka S, Murakami D, Nakagawa A, Oguchi Y, Oikawa M, Ota T, Shiba K, Shintaku H, Shirasaki Y, Suga K, Suzuki Y, Suzuki N, Tanaka Y, Tezuka H, Toyokawa C, Yalikun Y, Yamada M, Yamagishi M, Yamano T, Yasumoto A, Yatomi Y, Yazawa M, Di Carlo D, Hosokawa Y, Uemura S, Ozeki Y, Goda K Intelligent Image-Activated Cell Sorting. Intelligent Image-Activated Cell Sorting. Intelligent Image-Activated Cell Sorting. Cell, 175, 1, 266-276.e13 Cell, 175, 1, 266-276.e13 Cell, 175, 1, 266-276.e13 2018/09 Refereed Disclose to all
Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A, Mikami H, Ito T, Nitta N, Sugimura T, Yamada M, Yatomi Y, Di Carlo D, Ozeki Y, Goda K High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Nature protocols, 13, 7, 1603-1631 Nature protocols, 13, 7, 1603-1631 Nature protocols, 13, 7, 1603-1631 2018/07 Refereed Disclose to all
Makoto Yamada,Yuta Umezu,Kenji Fukumizu,Ichiro Takeuchi Makoto Yamada,Yuta Umezu,Kenji Fukumizu,Ichiro Takeuchi Makoto Yamada,Yuta Umezu,Kenji Fukumizu,Ichiro Takeuchi Post Selection Inference with Kernels. Post Selection Inference with Kernels. Post Selection Inference with Kernels. International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 152-160 2018 Refereed Disclose to all
Array,Jiliang Tang,Array,Ermin Hodzic,Raunak Shrestha,Avishek Saha,Hua Ouyang,Dawei Yin,Array,Array,Array,Array,Yi Chang Array,Jiliang Tang,Array,Ermin Hodzic,Raunak Shrestha,Avishek Saha,Hua Ouyang,Dawei Yin,Array,Array,Array,Array,Yi Chang Array,Jiliang Tang,Array,Ermin Hodzic,Raunak Shrestha,Avishek Saha,Hua Ouyang,Dawei Yin,Array,Array,Array,Array,Yi Chang Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng., 30, 7, 1352-1365 IEEE Trans. Knowl. Data Eng., 30, 7, 1352-1365 IEEE Trans. Knowl. Data Eng., 30, 7, 1352-1365 2018 Refereed Disclose to all
Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Optimizing Whole-Page Presentation for Web Search. Optimizing Whole-Page Presentation for Web Search. Optimizing Whole-Page Presentation for Web Search. TWEB, 12, 3, 19:1-19:25 TWEB, 12, 3, 19:1-19:25 TWEB, 12, 3, 19:1-19:25 2018 Refereed Disclose to all
Tanmoy Mukherjee,Makoto Yamada,Timothy M. Hospedales Tanmoy Mukherjee,Makoto Yamada,Timothy M. Hospedales Tanmoy Mukherjee,Makoto Yamada,Timothy M. Hospedales Learning Unsupervised Word Translations Without Adversaries. Learning Unsupervised Word Translations Without Adversaries. Learning Unsupervised Word Translations Without Adversaries. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 627-632 2018 Refereed Disclose to all
Kosuke Kikui,Yuta Itoh 0001,Makoto Yamada,Yuta Sugiura,Maki Sugimoto Kosuke Kikui,Yuta Itoh 0001,Makoto Yamada,Yuta Sugiura,Maki Sugimoto Kosuke Kikui,Yuta Itoh 0001,Makoto Yamada,Yuta Sugiura,Maki Sugimoto Intra-/inter-user adaptation framework for wearable gesture sensing device. Intra-/inter-user adaptation framework for wearable gesture sensing device. Intra-/inter-user adaptation framework for wearable gesture sensing device. Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 Proceedings of the 2018 ACM International Symposium on Wearable Computers, UbiComp 2018, Singapore, Singapore, October 8-12, 2018, 21-24 2018 Refereed Disclose to all
Kishan Wimalawarne,Makoto Yamada,Array Kishan Wimalawarne,Makoto Yamada,Array Kishan Wimalawarne,Makoto Yamada,Array Convex Coupled Matrix and Tensor Completion. Convex Coupled Matrix and Tensor Completion. Convex Coupled Matrix and Tensor Completion. Neural Computation, 30, 11 Neural Computation, 30, 11 Neural Computation, 30, 11 2018 Refereed Disclose to all
Tam Le,Makoto Yamada Tam Le,Makoto Yamada Tam Le,Makoto Yamada Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 10028-10039 2018 Refereed Disclose to all
Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Localized Lasso for High-Dimensional Regression. Localized Lasso for High-Dimensional Regression. Localized Lasso for High-Dimensional Regression. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 325-333 2017 Refereed Disclose to all
Makoto Yamada,Wenzhao Lian,Amit Goyal,Jianhui Chen,Kishan Wimalawarne,Suleiman A. Khan,Samuel Kaski,Hiroshi Mamitsuka,Yi Chang Makoto Yamada,Wenzhao Lian,Amit Goyal,Jianhui Chen,Kishan Wimalawarne,Suleiman A. Khan,Samuel Kaski,Hiroshi Mamitsuka,Yi Chang Makoto Yamada,Wenzhao Lian,Amit Goyal,Jianhui Chen,Kishan Wimalawarne,Suleiman A. Khan,Samuel Kaski,Hiroshi Mamitsuka,Yi Chang Convex Factorization Machine for Toxicogenomics Prediction. Convex Factorization Machine for Toxicogenomics Prediction. Convex Factorization Machine for Toxicogenomics Prediction. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, 1215-1224 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, 1215-1224 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, 1215-1224 2017 Refereed Disclose to all
Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Yue Wang,Dawei Yin,Luo Jie,Pengyuan Wang,Makoto Yamada,Yi Chang,Qiaozhu Mei Beyond Ranking: Optimizing Whole-Page Presentation. Beyond Ranking: Optimizing Whole-Page Presentation. Beyond Ranking: Optimizing Whole-Page Presentation. Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 103-112 Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 103-112 Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 103-112 2016 Refereed Disclose to all
Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Makoto Yamada,Koh Takeuchi,Tomoharu Iwata,John Shawe-Taylor,Samuel Kaski Sparse Network Lasso for Local High-dimensional Regression. Sparse Network Lasso for Local High-dimensional Regression. Sparse Network Lasso for Local High-dimensional Regression. CoRR, abs/1603.06743 CoRR, abs/1603.06743 CoRR, abs/1603.06743 2016 Refereed Disclose to all
Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Lifecycle Modeling for Buzz Temporal Pattern Discovery. Lifecycle Modeling for Buzz Temporal Pattern Discovery. Lifecycle Modeling for Buzz Temporal Pattern Discovery. TKDD, 11, 2, 20:1-20:24 TKDD, 11, 2, 20:1-20:24 TKDD, 11, 2, 20:1-20:24 2016 Refereed Disclose to all
Zornitsa Kozareva,Makoto Yamada Zornitsa Kozareva,Makoto Yamada Zornitsa Kozareva,Makoto Yamada Which Tumblr Post Should I Read Next? Which Tumblr Post Should I Read Next? Which Tumblr Post Should I Read Next? Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers 2016 Refereed Disclose to all
Junning Gao,Makoto Yamada,Samuel Kaski,Hiroshi Mamitsuka,Shanfeng Zhu Junning Gao,Makoto Yamada,Samuel Kaski,Hiroshi Mamitsuka,Shanfeng Zhu Junning Gao,Makoto Yamada,Samuel Kaski,Hiroshi Mamitsuka,Shanfeng Zhu A Robust Convex Formulation for Ensemble Clustering. A Robust Convex Formulation for Ensemble Clustering. A Robust Convex Formulation for Ensemble Clustering. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 1476-1482 2016 Refereed Disclose to all
Yi Chang,Jiliang Tang,Dawei Yin,Makoto Yamada,Yan Liu Yi Chang,Jiliang Tang,Dawei Yin,Makoto Yamada,Yan Liu Yi Chang,Jiliang Tang,Dawei Yin,Makoto Yamada,Yan Liu Timeline Summarization from Social Media with Life Cycle Models. Timeline Summarization from Social Media with Life Cycle Models. Timeline Summarization from Social Media with Life Cycle Models. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 3698-3704 2016 Refereed Disclose to all
Tomoharu Iwata,Makoto Yamada Tomoharu Iwata,Makoto Yamada Tomoharu Iwata,Makoto Yamada Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 1136-1144 2016 Refereed Disclose to all
Makoto Yamada,Leonid Sigal,Michalis Raptis,Machiko Toyoda,Yi Chang,Masashi Sugiyama Makoto Yamada,Leonid Sigal,Michalis Raptis,Machiko Toyoda,Yi Chang,Masashi Sugiyama Makoto Yamada,Leonid Sigal,Michalis Raptis,Machiko Toyoda,Yi Chang,Masashi Sugiyama Cross-Domain Matching with Squared-Loss Mutual Information. Cross-Domain Matching with Squared-Loss Mutual Information. Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell., 37, 9, 1776-1776 IEEE Trans. Pattern Anal. Mach. Intell., 37, 9, 1776-1776 IEEE Trans. Pattern Anal. Mach. Intell., 37, 9, 1776-1776 2015 Refereed Disclose to all
Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 2015 Refereed Disclose to all
Makoto Yamada,Amit Goyal,Yi Chang Makoto Yamada,Amit Goyal,Yi Chang Makoto Yamada,Amit Goyal,Yi Chang Convex Factorization Machine for Regression. Convex Factorization Machine for Regression. Convex Factorization Machine for Regression. CoRR, abs/1507.01073 CoRR, abs/1507.01073 CoRR, abs/1507.01073 2015 Refereed Disclose to all
Makoto Yamada,Leonid Sigal,Yi Chang Makoto Yamada,Leonid Sigal,Yi Chang Makoto Yamada,Leonid Sigal,Yi Chang Domain Adaptation for Structured Regression. Domain Adaptation for Structured Regression. Domain Adaptation for Structured Regression. International Journal of Computer Vision, 109, 1-2, 126-145 International Journal of Computer Vision, 109, 1-2, 126-145 International Journal of Computer Vision, 109, 1-2, 126-145 2014 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Jun Sese Makoto Yamada,Masashi Sugiyama,Jun Sese Makoto Yamada,Masashi Sugiyama,Jun Sese Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Machine Learning, 96, 3, 249-267 Machine Learning, 96, 3, 249-267 Machine Learning, 96, 3, 249-267 2014 Refereed Disclose to all
Masashi Sugiyama,Gang Niu,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya Masashi Sugiyama,Gang Niu,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya Masashi Sugiyama,Gang Niu,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya Information-Maximization Clustering Based on Squared-Loss Mutual Information. Information-Maximization Clustering Based on Squared-Loss Mutual Information. Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Computation, 26, 1, 84-131 Neural Computation, 26, 1, 84-131 Neural Computation, 26, 1, 84-131 2014 Refereed Disclose to all
Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Eric P. Xing,Masashi Sugiyama Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Eric P. Xing,Masashi Sugiyama Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Eric P. Xing,Masashi Sugiyama High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Computation, 26, 1, 185-207 Neural Computation, 26, 1, 185-207 Neural Computation, 26, 1, 185-207 2014 Refereed Disclose to all
Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Neural Computation, 26, 8, 1717-1762 Neural Computation, 26, 8, 1717-1762 Neural Computation, 26, 8, 1717-1762 2014 Refereed Disclose to all
Makoto Yamada,Leonid Sigal,Michalis Raptis Makoto Yamada,Leonid Sigal,Michalis Raptis Makoto Yamada,Leonid Sigal,Michalis Raptis Covariate Shift Adaptation for Discriminative 3D Pose Estimation. Covariate Shift Adaptation for Discriminative 3D Pose Estimation. Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell., 36, 2, 235-247 IEEE Trans. Pattern Anal. Mach. Intell., 36, 2, 235-247 IEEE Trans. Pattern Anal. Mach. Intell., 36, 2, 235-247 2014 Refereed Disclose to all
Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Yi Chang,Makoto Yamada,Antonio Ortega,Yan Liu 0002 Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, 749-754 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, 749-754 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, 749-754 2014 Refereed Disclose to all
Makoto Yamada,Avishek Saha,Hua Ouyang,Dawei Yin,Yi Chang Makoto Yamada,Avishek Saha,Hua Ouyang,Dawei Yin,Yi Chang Makoto Yamada,Avishek Saha,Hua Ouyang,Dawei Yin,Yi Chang N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. N LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR, abs/1411.2331 CoRR, abs/1411.2331 CoRR, abs/1411.2331 2014 Refereed Disclose to all
Tomoharu Iwata,Makoto Yamada Tomoharu Iwata,Makoto Yamada Tomoharu Iwata,Makoto Yamada Multi-view Anomaly Detection via Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Probabilistic Latent Variable Models. Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR, abs/1411.3413 CoRR, abs/1411.3413 CoRR, abs/1411.3413 2014 Refereed Disclose to all
Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Suriya Gunasekar,Makoto Yamada,Dawei Yin,Yi Chang Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR, abs/1412.2113 CoRR, abs/1412.2113 CoRR, abs/1412.2113 2014 Refereed Disclose to all
Makoto Yamada,Gordon Wichern,Kazunobu Kondo,Masashi Sugiyama,Hiroshi Sawada Makoto Yamada,Gordon Wichern,Kazunobu Kondo,Masashi Sugiyama,Hiroshi Sawada Makoto Yamada,Gordon Wichern,Kazunobu Kondo,Masashi Sugiyama,Hiroshi Sawada Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Digital Signal Processing, 23, 1, 1-8 Digital Signal Processing, 23, 1, 1-8 Digital Signal Processing, 23, 1, 1-8 2013 Refereed Disclose to all
Masashi Sugiyama,Song Liu,Marthinus Christoffel du Plessis,Masao Yamanaka,Makoto Yamada,Taiji Suzuki,Takafumi Kanamori Masashi Sugiyama,Song Liu,Marthinus Christoffel du Plessis,Masao Yamanaka,Makoto Yamada,Taiji Suzuki,Takafumi Kanamori Masashi Sugiyama,Song Liu,Marthinus Christoffel du Plessis,Masao Yamanaka,Makoto Yamada,Taiji Suzuki,Takafumi Kanamori Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. JCSE, 7, 2, 99-111 JCSE, 7, 2, 99-111 JCSE, 7, 2, 99-111 2013 Refereed Disclose to all
Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Computation, 25, 5, 1324-1370 Neural Computation, 25, 5, 1324-1370 Neural Computation, 25, 5, 1324-1370 2013 Refereed Disclose to all
Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Change-point detection in time-series data by relative density-ratio estimation. Change-point detection in time-series data by relative density-ratio estimation. Change-point detection in time-series data by relative density-ratio estimation. Neural Networks, 43, 72-83 Neural Networks, 43, 72-83 Neural Networks, 43, 72-83 2013 Refereed Disclose to all
Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura,Tomoharu Iwata Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura,Tomoharu Iwata Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura,Tomoharu Iwata Clustering-based anomaly detection in multi-view data. Clustering-based anomaly detection in multi-view data. Clustering-based anomaly detection in multi-view data. 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 1545-1548 2013 Refereed Disclose to all
Makoto Yamada,Akisato Kimura,Futoshi Naya,Hiroshi Sawada Makoto Yamada,Akisato Kimura,Futoshi Naya,Hiroshi Sawada Makoto Yamada,Akisato Kimura,Futoshi Naya,Hiroshi Sawada Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 Refereed Disclose to all
Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura Alejandro Marcos Alvarez,Makoto Yamada,Akisato Kimura Exploiting socially-generated side information in dimensionality reduction. Exploiting socially-generated side information in dimensionality reduction. Exploiting socially-generated side information in dimensionality reduction. Proceedings of the 2nd international workshop on Socially-aware multimedia, SAM@ACM Multimedia 2013, Barcelona, Spain, October 21, 2013, 9-12 Proceedings of the 2nd international workshop on Socially-aware multimedia, SAM@ACM Multimedia 2013, Barcelona, Spain, October 21, 2013, 9-12 Proceedings of the 2nd international workshop on Socially-aware multimedia, SAM@ACM Multimedia 2013, Barcelona, Spain, October 21, 2013, 9-12 2013 Refereed Disclose to all
Akisato Kimura,Katsuhiko Ishiguro,Makoto Yamada,Alejandro Marcos Alvarez,Kaori Kataoka,Kazuhiko Murasaki Akisato Kimura,Katsuhiko Ishiguro,Makoto Yamada,Alejandro Marcos Alvarez,Kaori Kataoka,Kazuhiko Murasaki Akisato Kimura,Katsuhiko Ishiguro,Makoto Yamada,Alejandro Marcos Alvarez,Kaori Kataoka,Kazuhiko Murasaki Image context discovery from socially curated contents. Image context discovery from socially curated contents. Image context discovery from socially curated contents. ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013, 565-568 ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013, 565-568 ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013, 565-568 2013 Refereed Disclose to all
Masashi Sugiyama,Makoto Yamada Masashi Sugiyama,Makoto Yamada Masashi Sugiyama,Makoto Yamada On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. IEICE Transactions, 95-D, 10, 2564-2567 IEICE Transactions, 95-D, 10, 2564-2567 IEICE Transactions, 95-D, 10, 2564-2567 2012 Refereed Disclose to all
Makoto Yamada,Leonid Sigal,Michalis Raptis Makoto Yamada,Leonid Sigal,Michalis Raptis Makoto Yamada,Leonid Sigal,Michalis Raptis No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV, 674-687 Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV, 674-687 Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV, 674-687 2012 Refereed Disclose to all
Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 Refereed Disclose to all
Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings, 363-372 Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings, 363-372 Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings, 363-372 2012 Refereed Disclose to all
Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Masashi Sugiyama Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Masashi Sugiyama Makoto Yamada,Wittawat Jitkrittum,Leonid Sigal,Masashi Sugiyama High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso CoRR, abs/1202.0515 CoRR, abs/1202.0515 CoRR, abs/1202.0515 2012 Refereed Disclose to all
Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Song Liu,Makoto Yamada,Nigel Collier,Masashi Sugiyama Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation CoRR, abs/1203.0453 CoRR, abs/1203.0453 CoRR, abs/1203.0453 2012 Refereed Disclose to all
Makoto Yamada,Leonid Sigal,Michalis Raptis,Masashi Sugiyama Makoto Yamada,Leonid Sigal,Michalis Raptis,Masashi Sugiyama Makoto Yamada,Leonid Sigal,Michalis Raptis,Masashi Sugiyama Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information CoRR, abs/1206.4116 CoRR, abs/1206.4116 CoRR, abs/1206.4116 2012 Refereed Disclose to all
Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Information-theoretic Semi-supervised Metric Learning via Entropy Regularization Information-theoretic Semi-supervised Metric Learning via Entropy Regularization Information-theoretic Semi-supervised Metric Learning via Entropy Regularization CoRR, abs/1206.4614 CoRR, abs/1206.4614 CoRR, abs/1206.4614 2012 Refereed Disclose to all
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 In Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS2011), 807-815 2011 Refereed Disclose to all
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11) 2011 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Improving the Accuracy of Least-Squares Probabilistic Classifiers. Improving the Accuracy of Least-Squares Probabilistic Classifiers. Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Transactions, 94-D, 6, 1337-1340 IEICE Transactions, 94-D, 6, 1337-1340 IEICE Transactions, 94-D, 6, 1337-1340 2011 Refereed Disclose to all
Masashi Sugiyama,Makoto Yamada,Paul von Bünau,Taiji Suzuki,Takafumi Kanamori,Motoaki Kawanabe Masashi Sugiyama,Makoto Yamada,Paul von Bünau,Taiji Suzuki,Takafumi Kanamori,Motoaki Kawanabe Masashi Sugiyama,Makoto Yamada,Paul von Bünau,Taiji Suzuki,Takafumi Kanamori,Motoaki Kawanabe Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks, 24, 2, 183-198 Neural Networks, 24, 2, 183-198 Neural Networks, 24, 2, 183-198 2011 Refereed Disclose to all
Jun Takagi,Yasunori Ohishi,Akisato Kimura,Masashi Sugiyama,Makoto Yamada,Hirokazu Kameoka Jun Takagi,Yasunori Ohishi,Akisato Kimura,Masashi Sugiyama,Makoto Yamada,Hirokazu Kameoka Jun Takagi,Yasunori Ohishi,Akisato Kimura,Masashi Sugiyama,Makoto Yamada,Hirokazu Kameoka Automatic audio tag classification via semi-supervised canonical density estimation. Automatic audio tag classification via semi-supervised canonical density estimation. Automatic audio tag classification via semi-supervised canonical density estimation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2232-2235 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2232-2235 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2232-2235 2011 Refereed Disclose to all
Masashi Sugiyama,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya Masashi Sugiyama,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya Masashi Sugiyama,Makoto Yamada,Manabu Kimura,Hirotaka Hachiya On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 65-72 Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 65-72 Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 65-72 2011 Refereed Disclose to all
Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Makoto Yamada,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Relative Density-Ratio Estimation for Robust Distribution Comparison. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 594-602 2011 Refereed Disclose to all
Makoto Yamada,Gang Niu,Jun Takagi,Masashi Sugiyama Makoto Yamada,Gang Niu,Jun Takagi,Masashi Sugiyama Makoto Yamada,Gang Niu,Jun Takagi,Masashi Sugiyama Suffcient Component Analysis. Suffcient Component Analysis. Suffcient Component Analysis. Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011, 247-262 2011 Refereed Disclose to all
Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama Gang Niu,Bo Dai,Makoto Yamada,Masashi Sugiyama SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity CoRR, abs/1105.0167 CoRR, abs/1105.0167 CoRR, abs/1105.0167 2011 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Tomoko Matsui Acceleration of sequence kernel computation for real-time speaker identification. Acceleration of sequence kernel computation for real-time speaker identification. Acceleration of sequence kernel computation for real-time speaker identification. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1626-1629 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1626-1629 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1626-1629 2010 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Gordon Wichern Makoto Yamada,Masashi Sugiyama,Gordon Wichern Makoto Yamada,Masashi Sugiyama,Gordon Wichern Direct importance estimation with probabilistic principal component analyzers. Direct importance estimation with probabilistic principal component analyzers. Direct importance estimation with probabilistic principal component analyzers. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1962-1965 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1962-1965 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 1962-1965 2010 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Makoto Yamada,Masashi Sugiyama,Gordon Wichern,Jaak Simm Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Transactions, 93-D, 10, 2846-2849 IEICE Transactions, 93-D, 10, 2846-2849 IEICE Transactions, 93-D, 10, 2846-2849 2010 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Semi-supervised speaker identification under covariate shift. Semi-supervised speaker identification under covariate shift. Semi-supervised speaker identification under covariate shift. Signal Processing, 90, 8, 2353-2361 Signal Processing, 90, 8, 2353-2361 Signal Processing, 90, 8, 2353-2361 2010 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama Makoto Yamada,Masashi Sugiyama Makoto Yamada,Masashi Sugiyama Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 2010 Refereed Disclose to all
Gordon Wichern,Makoto Yamada,Harvey D. Thornburg,Masashi Sugiyama,Andreas Spanias Gordon Wichern,Makoto Yamada,Harvey D. Thornburg,Masashi Sugiyama,Andreas Spanias Gordon Wichern,Makoto Yamada,Harvey D. Thornburg,Masashi Sugiyama,Andreas Spanias Automatic audio tagging using covariate shift adaptation. Automatic audio tagging using covariate shift adaptation. Automatic audio tagging using covariate shift adaptation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 253-256 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 253-256 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 253-256 2010 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama Makoto Yamada,Masashi Sugiyama Makoto Yamada,Masashi Sugiyama Direct Importance Estimation with Gaussian Mixture Models. Direct Importance Estimation with Gaussian Mixture Models. Direct Importance Estimation with Gaussian Mixture Models. IEICE Transactions, 92-D, 10, 2159-2162 IEICE Transactions, 92-D, 10, 2159-2162 IEICE Transactions, 92-D, 10, 2159-2162 2009 Refereed Disclose to all
Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Makoto Yamada,Masashi Sugiyama,Tomoko Matsui Covariate shift adaptation for semi-supervised speaker identification. Covariate shift adaptation for semi-supervised speaker identification. Covariate shift adaptation for semi-supervised speaker identification. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 1661-1664 2009 Refereed Disclose to all
Kazunobu Kondo,Makoto Yamada,Hideki Kenmochi Kazunobu Kondo,Makoto Yamada,Hideki Kenmochi Kazunobu Kondo,Makoto Yamada,Hideki Kenmochi A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, September 6-10, 2009, 1339-1342 2009 Refereed Disclose to all
Makoto Yamada,Mahmood R. Azimi-Sadjadi Makoto Yamada,Mahmood R. Azimi-Sadjadi Makoto Yamada,Mahmood R. Azimi-Sadjadi Kernel Wiener Filter with Distance Constraint. Kernel Wiener Filter with Distance Constraint. Kernel Wiener Filter with Distance Constraint. 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 596-599 2006 Refereed Disclose to all
Makoto Yamada,Mahmood R. Azimi-Sadjadi Makoto Yamada,Mahmood R. Azimi-Sadjadi Makoto Yamada,Mahmood R. Azimi-Sadjadi Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2005), 28-30 November 2005, Vienna, Austria, 1095-1101 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2005), 28-30 November 2005, Vienna, Austria, 1095-1101 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2005), 28-30 November 2005, Vienna, Austria, 1095-1101 2005 Refereed Disclose to all

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Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Relative Density-Ratio Estimation for Robust Distribution Comparison Relative Density-Ratio Estimation for Robust Distribution Comparison Relative Density-Ratio Estimation for Robust Distribution Comparison 2011/06/23 Institution technical report and pre-print, etc. Disclose to all
Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity 2011/05/01 Institution technical report and pre-print, etc. Disclose to all
Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Makoto Yamada, Masashi Sugiyama, Jun Sese Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise 2011/03/29 Lecture materials etc.(seminar, tutorial, course, lecture and others) Disclose to all
Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama Sufficient Component Analysis for Supervised Dimension Reduction Sufficient Component Analysis for Supervised Dimension Reduction Sufficient Component Analysis for Supervised Dimension Reduction 2011/03/26 Institution technical report and pre-print, etc. Disclose to all
Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Makoto Yamada, Masashi Sugiyama Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection Cross-Domain Object Matching with Model Selection 2010/12/07 Lecture materials etc.(seminar, tutorial, course, lecture and others) Disclose to all
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Awards
Title(Japanese) Title(English) Organization name(Japanese) Organization name(English) Date
WSDM 2019 Outstanding Reviewer award WSDM 2019 Outstanding Reviewer award Association for Computing Machinery (ACM) Association for Computing Machinery (ACM) 2019/02/11
External funds: competitive funds and Grants-in-Aid for Scientific Research (Kakenhi)
Type Position Title(Japanese) Title(English) Period
若手研究(B) Representative 超高次元データに対する非線形解析手法の研究開発 (平成29年度分) 2017/04/01-2018/03/31
さきがけ Representative 科学的発見のための非線形機械学習技術の創生 2016/09/01-2020/03/31
基盤研究 (S) Assignment 個別化医療の開発のための統計的方法論の構築とその実践に関する総合的研究 2018/10/1-2021/03/31
Teaching subject(s)
Name(Japanese) Name(English) Term Department Period
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2016/04-2017/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2016/04-2017/03
計算機科学実験及演習2 Computer Science Laboratory and Exercise 2 後期 工学部 2018/04-2019/03
計算機科学実験及演習3 Computer Science Laboratory and Exercise 3 前期 工学部 2018/04-2019/03
情報と職業 Information and Business 前期 工学部 2019/04-2020/03
統計入門 Introductory Statistics 前期 全学共通科目 2019/04-2020/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2019/04-2020/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2019/04-2020/03
計算機科学実験及演習2 Computer Science Laboratory and Exercise 2 後期 工学部 2019/04-2020/03
計算機科学実験及演習3 Computer Science Laboratory and Exercise 3 前期 工学部 2019/04-2020/03
Awards received by supervised students
Student name Award title Giver Date
白石 竜也 人工知能学会2019年度全国大会学生奨励賞 人工知能学会 2019/06/04
Faculty management (title, position)
Title Period
化学研究所広報委員会委員 2016/04/01-2017/03/31
図書WG委員 2018/04/01-2019/03/31
Academic organizations (administrative history with title(s), position(s), etc.)
Organization name(Japanese) Organization name(English) Title(Japanese) Title(English) Period
AISTATS 2019 AISTATS 2019 Workflow Chair Workflow Chair 2018/07/01-2019/04/18
Academic organizaions (peer-reviewer)
Organization name(Japanese) Organization name(English) Journal name(Japanese) Journal name(English) Period
ICML 2019 ICML 2019 -
WSDM 2019 WSDM 2019 -
AAAI 2020 AAAI 2020 -
WebConf 2020 WebConf 2020 -
IJCAI 2020 IJCAI 2020 -