| 2025 | ICML | Algorithmic Recourse for Long-Term Improvement. | Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi |
| 2024 | ACML | Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance. | Yudai Yamamoto, Satoshi Hara |
| 2023 | ICDM | Rule Mining for Correcting Classification Models. | Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara |
| 2023 | ICLR | Average Sensitivity of Decision Tree Learning. | Satoshi Hara, Yuichi Yoshida |
| 2023 | ICLR | Fooling SHAP with Stealthily Biased Sampling. | Gabriel Laberge, Ulrich Avodji, Satoshi Hara, Mario Marchand, Foutse Khomh |
| 2022 | AAAI | Explainable and Local Correction of Classification Models Using Decision Trees. | Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara |
| 2021 | ICLR | Evaluation of Similarity-based Explanations. | Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui |
| 2020 | AAAI | Faking Fairness via Stealthily Biased Sampling. | Kazuto Fukuchi, Satoshi Hara, Takanori Maehara |
| 2020 | AISTATS | Interpretable Companions for Black-Box Models. | Danqing Pan, Tong Wang, Satoshi Hara |
| 2019 | ACML | SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. | Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai |
| 2019 | ICML | Fairwashing: the risk of rationalization. | Ulrich Avodji, Hiromi Arai, Olivier Fortineau, Sbastien Gambs, Satoshi Hara, Alain Tapp |
| 2019 | PRICAI | Convex Hull Approximation of Nearly Optimal Lasso Solutions. | Satoshi Hara, Takanori Maehara |
| 2018 | AAAI | Approximate and Exact Enumeration of Rule Models. | Satoshi Hara, Masakazu Ishihata |
| 2018 | AISTATS | Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. | Satoshi Hara, Kohei Hayashi |
| 2017 | AAAI | Enumerate Lasso Solutions for Feature Selection. | Satoshi Hara, Takanori Maehara |
| 2017 | AISTATS | Consistent and Efficient Nonparametric Different-Feature Selection. | Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi |
| 2015 | AISTATS | A Consistent Method for Graph Based Anomaly Localization. | Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki |
| 2014 | WSC | Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations. | Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta |
| 2014 | WSC | A multi-objective genetic algorithm using intermediate features of simulations. | Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura |
| 2012 | ICDM | Anomalous Neighborhood Selection. | Satoshi Hara, Takashi Washio |
| 2012 | ICONIP | Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method. | Satoshi Hara, Takashi Washio |
| 2010 | ICONIP | Stationary Subspace Analysis as a Generalized Eigenvalue Problem. | Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bnau |
| 2010 | SDM | Direct Density Ratio Estimation with Dimensionality Reduction. | Masashi Sugiyama, Satoshi Hara, Paul von Bnau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe |
| 1998 | NOMS | Requirements and implementation of service-ordering and billing system for multimedia services. | Hiroshi Arimichi, Hideo Kikuchi, Masataka Minemura, Satoshi Hara |