Satoshi Hara

According to our database, Satoshi Hara authored at least 34 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fooling SHAP with Stealthily Biased Sampling.

Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Average Sensitivity of Decision Tree Learning.

Satoshi Hara, Yuichi Yoshida

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rule Mining for Correcting Classification Models.

Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Personalized Decentralized Bilevel Optimization over Stochastic and Directed Networks.

Naoyuki Terashita, Satoshi Hara

CoRR, 2022

Fooling SHAP with Stealthily Biased Sampling.

Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara

CoRR, 2022

Explainable and Local Correction of Classification Models Using Decision Trees.

Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Characterizing the risk of fairwashing.

Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evaluation of Similarity-based Explanations.

Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Evaluation Criteria for Instance-based Explanation.

Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

CoRR, 2020

Interpretable Companions for Black-Box Models.

Danqing Pan, Tong Wang, Satoshi Hara

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Faking Fairness via Stealthily Biased Sampling.

Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enumeration of Distinct Support Vectors for Interactive Decision Making.

Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura

CoRR, 2019

Pretending Fair Decisions via Stealthily Biased Sampling.

Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

CoRR, 2019

Convex Hull Approximation of Nearly Optimal Lasso Solutions.

Satoshi Hara, Takanori Maehara

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Data Cleansing for Models Trained with SGD.

Satoshi Hara, Atsushi Nitanda, Takanori Maehara

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fairwashing: the risk of rationalization.

Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp

Proceedings of the 36th International Conference on Machine Learning, 2019

SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA.

Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Discounted average degree density metric and new algorithms for the densest subgraph problem.

Hiroki Yanagisawa, Satoshi Hara

Networks, 2018

Maximizing Invariant Data Perturbation with Stochastic Optimization.

Kouichi Ikeno, Satoshi Hara

CoRR, 2018

Maximally Invariant Data Perturbation as Explanation.

Satoshi Hara, Kouichi Ikeno, Tasuku Soma, Takanori Maehara

CoRR, 2018

Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach.

Satoshi Hara, Kohei Hayashi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Approximate and Exact Enumeration of Rule Models.

Satoshi Hara, Masakazu Ishihata

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Consistent and Efficient Nonparametric Different-Feature Selection.

Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Enumerate Lasso Solutions for Feature Selection.

Satoshi Hara, Takanori Maehara

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

A Consistent Method for Graph Based Anomaly Localization.

Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

A multi-objective genetic algorithm using intermediate features of simulations.

Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura

Proceedings of the 2014 Winter Simulation Conference, 2014

Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations.

Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta

Proceedings of the 2014 Winter Simulation Conference, 2014

2013

Learning a common substructure of multiple graphical Gaussian models.

Satoshi Hara, Takashi Washio

Neural Networks, 2013

2012

Separation of stationary and non-stationary sources with a generalized eigenvalue problem.

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto

Neural Networks, 2012

Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method.

Satoshi Hara, Takashi Washio

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Anomalous Neighborhood Selection.

Satoshi Hara, Takashi Washio

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Common Substructure Learning of Multiple Graphical Gaussian Models.

Satoshi Hara, Takashi Washio

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Direct Density Ratio Estimation with Dimensionality Reduction.

Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe

Proceedings of the SIAM International Conference on Data Mining, 2010

Stationary Subspace Analysis as a Generalized Eigenvalue Problem.

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010