Satoshi Hara - RankMe

47 papers A* 12A 5C 2Misc 2Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Algorithmic Recourse for Long-Term Improvement. ICML Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi
2025	J	`jnl`	Data Cleansing for GANs. CoRR Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
2025	J	`jnl`	Data Cleansing for GANs. IEEE Trans. Neural Networks Learn. Syst. Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
2025	J	`jnl`	Path-Specific Counterfactual Fairness via Dividend Correction. Trans. Mach. Learn. Res. Daisuke Hatano, Satoshi Hara, Hiromi Arai
2025	J	`jnl`	Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration. Trans. Mach. Learn. Res. Naoyuki Terashita, Satoshi Hara
2024	J	`jnl`	Active model selection: A variance minimization approach. Mach. Learn. Satoshi Hara, Mitsuru Matsuura, Junya Honda, Shinji Ito
2024	C	`conf`	Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance. ACML Yudai Yamamoto, Satoshi Hara
2023	A*	`conf`	Average Sensitivity of Decision Tree Learning. ICLR Satoshi Hara, Yuichi Yoshida
2023	A*	`conf`	Fooling SHAP with Stealthily Biased Sampling. ICLR Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2023	A*	`conf`	Rule Mining for Correcting Classification Models. ICDM Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara
2023	J	`jnl`	Rule Mining for Correcting Classification Models. CoRR Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara
2022	A*	`conf`	Explainable and Local Correction of Classification Models Using Decision Trees. AAAI Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara
2022	J	`jnl`	Fooling SHAP with Stealthily Biased Sampling. CoRR Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2022	J	`jnl`	Personalized Decentralized Bilevel Optimization over Stochastic and Directed Networks. CoRR Naoyuki Terashita, Satoshi Hara
2021	A*	`conf`	Characterizing the risk of fairwashing. NeurIPS Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
2021	J	`jnl`	Characterizing the risk of fairwashing. CoRR Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
2021	A*	`conf`	Evaluation of Similarity-based Explanations. ICLR Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
2020	J	`jnl`	Evaluation Criteria for Instance-based Explanation. CoRR Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
2020	A*	`conf`	Faking Fairness via Stealthily Biased Sampling. AAAI Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
2020	A	`conf`	Interpretable Companions for Black-Box Models. AISTATS Danqing Pan, Tong Wang, Satoshi Hara
2020	J	`jnl`	Interpretable Companions for Black-Box Models. CoRR Danqing Pan, Tong Wang, Satoshi Hara
2019	—	`conf`	Convex Hull Approximation of Nearly Optimal Lasso Solutions. PRICAI (2) Satoshi Hara, Takanori Maehara
2019	A*	`conf`	Data Cleansing for Models Trained with SGD. NeurIPS Satoshi Hara, Atsushi Nitanda, Takanori Maehara
2019	J	`jnl`	Data Cleansing for Models Trained with SGD. CoRR Satoshi Hara, Atsushi Nitanda, Takanori Maehara
2019	J	`jnl`	Enumeration of Distinct Support Vectors for Interactive Decision Making. CoRR Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura
2019	A*	`conf`	Fairwashing: the risk of rationalization. ICML Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
2019	J	`jnl`	Fairwashing: the risk of rationalization. CoRR Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
2019	J	`jnl`	Pretending Fair Decisions via Stealthily Biased Sampling. CoRR Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
2019	C	`conf`	SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. ACML Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai
2018	A*	`conf`	Approximate and Exact Enumeration of Rule Models. AAAI Satoshi Hara, Masakazu Ishihata
2018	J	`jnl`	Convex Hull Approximation of Nearly Optimal Lasso Solutions. CoRR Satoshi Hara, Takanori Maehara
2018	J	`jnl`	Discounted average degree density metric and new algorithms for the densest subgraph problem. Networks Hiroki Yanagisawa, Satoshi Hara
2018	A	`conf`	Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. AISTATS Satoshi Hara, Kohei Hayashi
2018	J	`jnl`	Maximally Invariant Data Perturbation as Explanation. CoRR Satoshi Hara, Kouichi Ikeno, Tasuku Soma, Takanori Maehara
2018	J	`jnl`	Maximizing Invariant Data Perturbation with Stochastic Optimization. CoRR Kouichi Ikeno, Satoshi Hara
2017	A	`conf`	Consistent and Efficient Nonparametric Different-Feature Selection. AISTATS Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi
2017	A*	`conf`	Enumerate Lasso Solutions for Feature Selection. AAAI Satoshi Hara, Takanori Maehara
2015	A	`conf`	A Consistent Method for Graph Based Anomaly Localization. AISTATS Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki
2014	Misc	`conf`	A multi-objective genetic algorithm using intermediate features of simulations. WSC Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura
2014	Misc	`conf`	Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations. WSC Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta
2013	J	`jnl`	Learning a common substructure of multiple graphical Gaussian models. Neural Networks Satoshi Hara, Takashi Washio
2012	—	`conf`	Anomalous Neighborhood Selection. ICDM Workshops Satoshi Hara, Takashi Washio
2012	—	`conf`	Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method. ICONIP (3) Satoshi Hara, Takashi Washio
2012	J	`jnl`	Separation of stationary and non-stationary sources with a generalized eigenvalue problem. Neural Networks Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto
2011	—	`conf`	Common Substructure Learning of Multiple Graphical Gaussian Models. ECML/PKDD (2) Satoshi Hara, Takashi Washio
2010	A	`conf`	Direct Density Ratio Estimation with Dimensionality Reduction. SDM Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
2010	—	`conf`	Stationary Subspace Analysis as a Generalized Eigenvalue Problem. ICONIP (1) Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau