Rchr
J-GLOBAL ID：201801010438043202
Update date: Apr. 03, 2023
Bao Han
ツツミ フクム | Bao Han
Affiliation and department：
Job title：
Assistant Professor
Homepage URL (1)：
https://hermite.jp/
Research field (1)：
Statistical science
Research keywords (2)：
machine learning
, 機械学習
Papers (12)：
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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
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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
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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
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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
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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
ｍore...
MISC (1)：
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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
Professional career (1)：
- Ph.D. in Information Science and Technology (The University of Tokyo)
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