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ツツミフクム | Bao Han

所属機関・部署：
職名：特定助教
ホームページURL (1件)： https://hermite.jp/

研究分野 (1件)：統計科学

研究キーワード (2件)： machine learning , 機械学習

論文 (12件)：

Han Bao 0002, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama. Pairwise Supervision Can Provably Elicit a Decision Boundary. International Conference on Artificial Intelligence and Statistics(AISTATS). 2022. 2618-2640
Soham Dan, Han Bao 0002, Masashi Sugiyama. Learning from Noisy Similar and Dissimilar Data. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference. 2021. 233-249
Han Bao 0002, Masashi Sugiyama. Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation. The 24th International Conference on Artificial Intelligence and Statistics(AISTATS). 2021. 1648-1656
Takuya Shimada, Han Bao 0002, Issei Sato, Masashi Sugiyama. Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. Neural Computation. 2021. 33. 5. 1234-1268
Marcus Nordström, Han Bao 0002, Fredrik Löfman, Henrik Hult, Atsuto Maki, Masashi Sugiyama. Calibrated Surrogate Maximization of Dice. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. 12264 LNCS. 269-278

MISC (1件)：

Han Bao, Gang Niu, Masashi Sugiyama. Classification from Pairwise Similarity and Unlabeled Data. 35th International Conference on Machine Learning, ICML 2018. 2018. 2. 763-781

学位 (1件)：

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