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Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors


Jun 21, 2021
Tomoya Sakai


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Predictive Optimization with Zero-Shot Domain Adaptation


Jan 15, 2021
Tomoya Sakai, Naoto Ohsaka

* SDM2021. Full version including appendix 

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Regret Minimization for Causal Inference on Large Treatment Space


Jun 10, 2020
Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima


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Do We Need Zero Training Loss After Achieving Zero Training Error?


Feb 20, 2020
Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama


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Robust modal regression with direct log-density derivative estimation


Oct 18, 2019
Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori


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Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags


May 01, 2018
Han Bao, Tomoya Sakai, Issei Sato, Masashi Sugiyama


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Binary Matrix Completion Using Unobserved Entries


Mar 13, 2018
Masayoshi Hayashi, Tomoya Sakai, Masashi Sugiyama


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Information-Theoretic Representation Learning for Positive-Unlabeled Classification


Feb 12, 2018
Tomoya Sakai, Gang Niu, Masashi Sugiyama


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Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning


Oct 16, 2017
Tomoya Sakai, Gang Niu, Masashi Sugiyama

* To appear in Machine Learning 

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Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data


Jun 16, 2017
Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

* Accepted to the 34th International Conference on Machine Learning (ICML 2017) 

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