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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-03-08
10:25
Online Online Robust computation of optimal transport by β-potential regularization
Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo) IBISML2021-31
Optimal transport (OT) has become a widely used tool to measure the discrepancy between probability distributions
in th... [more]
IBISML2021-31
pp.8-14
IBISML 2020-03-11
10:45
Kyoto Kyoto University
(Cancelled but technical report was issued)
Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification
Han Bao (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2019-43
Complex classification performance metrics such as the F-measure and Jaccard index are often used to handle class imbala... [more] IBISML2019-43
pp.71-78
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-24
10:20
Okinawa Okinawa Institute of Science and Technology Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags
Han Bao (Univ. of Tokyo), Tomoya Sakai, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-3
Multiple instance learning (MIL) is a variation of traditional supervised learning problems where data (referred to as b... [more] IBISML2017-3
pp.55-62
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