Hara, Satoshi

23 publications

ICML 2025 Algorithmic Recourse for Long-Term Improvement Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi

TMLR 2025 Path-Specific Counterfactual Fairness via Dividend Correction Daisuke Hatano, Satoshi Hara, Hiromi Arai

TMLR 2025 Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration Naoyuki Terashita, Satoshi Hara

MLJ 2024 Active Model Selection: A Variance Minimization Approach Satoshi Hara, Mitsuru Matsuura, Junya Honda, Shinji Ito

ACML 2024 Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance Yudai Yamamoto, Satoshi Hara

NeurIPSW 2023 Active Model Selection: A Variance Minimization Approach Mitsuru Matsuura, Satoshi Hara

NeurIPSW 2023 Active Testing of Binary Classification Model Using Level Set Estimation Takuma Ochiai, Keiichiro Seno, Kota Matsui, Satoshi Hara

ICLR 2023 Average Sensitivity of Decision Tree Learning Satoshi Hara, Yuichi Yoshida

ICLR 2023 Fooling SHAP with Stealthily Biased Sampling Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh

AAAI 2022 Explainable and Local Correction of Classification Models Using Decision Trees Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

NeurIPS 2021 Characterizing the Risk of Fairwashing Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara

ICLR 2021 Evaluation of Similarity-Based Explanations Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

AAAI 2020 Faking Fairness via Stealthily Biased Sampling Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

AISTATS 2020 Interpretable Companions for Black-Box Models Danqing Pan, Tong Wang, Satoshi Hara

NeurIPS 2019 Data Cleansing for Models Trained with SGD Satoshi Hara, Atsushi Nitanda, Takanori Maehara

ICML 2019 Fairwashing: The Risk of Rationalization Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp

ACML 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai

AAAI 2018 Approximate and Exact Enumeration of Rule Models Satoshi Hara, Masakazu Ishihata

AISTATS 2018 Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach Satoshi Hara, Kohei Hayashi

AISTATS 2017 Consistent and Efficient Nonparametric Different-Feature Selection Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi

AAAI 2017 Enumerate Lasso Solutions for Feature Selection Satoshi Hara, Takanori Maehara

AISTATS 2015 A Consistent Method for Graph Based Anomaly Localization Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki

ECML-PKDD 2011 Common Substructure Learning of Multiple Graphical Gaussian Models Satoshi Hara, Takashi Washio