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Satoshi Hara
Satoshi Hara
Assistant Professor, Osaka University
Verified email at ar.sanken.osaka-u.ac.jp
Title
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Cited by
Year
Fairwashing: the risk of rationalization
U Aïvodji, H Arai, O Fortineau, S Gambs, S Hara, A Tapp
Proceedings of the 36th International Conference on Machine Learning (ICML …, 0
151*
Making tree ensembles interpretable: A Bayesian model selection approach
S Hara, K Hayashi
Proceedings of the 21th International Conference on Artificial Intelligence …, 2016
1272016
Making Tree Ensembles Interpretable
S Hara, K Hayashi
2016 Workshop on Human Interpretability in Machine Learning, 81-85, 2016
1072016
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
632017
Separation of stationary and non-stationary sources with a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto
Neural networks 33, 7-20, 2012
632012
Data Cleansing for Models Trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32 (NeurIPS'19), 2019
602019
Quantile regression approach to conditional mode estimation
H Ota, K Kato, S Hara
512019
Learning a common substructure of multiple graphical Gaussian models
S Hara, T Washio
Neural Networks 38, 23-38, 2012
412012
Stationary subspace analysis as a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von Bünau
Neural Information Processing. Theory and Algorithms: 17th International …, 2010
242010
Anomaly Detection in Reconstructed Quantum States Using a Machine-Learning Technique
Satoshi Hara, Takafumi Ono, Ryo Okamoto, Takashi Washio, Shigeki Takeuchi
Physical Review A 89 (2), 022104, 2014
162014
Faking Fairness via Stealthily Biased Sampling
K Fukuchi, S Hara, T Maehara
arXiv preprint arXiv:1901.08291, 2019
15*2019
Approximate and exact enumeration of rule models
S Hara, M Ishihata
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
152018
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa ...
Proceedings of the Eighteenth International Conference on Artificial …, 2015
13*2015
Discounted average degree density metric and new algorithms for the densest subgraph problem
H Yanagisawa, S Hara
Networks 71 (1), 3-15, 2018
112018
Common substructure learning of multiple graphical gaussian models
S Hara, T Washio
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
112011
Finding alternate features in lasso
S Hara, T Maehara
arXiv preprint arXiv:1611.05940, 2016
92016
Maximally invariant data perturbation as explanation
S Hara, K Ikeno, T Soma, T Maehara
arXiv preprint arXiv:1806.07004, 2018
82018
Quantum-state anomaly detection for arbitrary errors using a machine-learning technique
S Hara, T Ono, R Okamoto, T Washio, S Takeuchi
Physical Review A 94 (4), 042341, 2016
82016
Maximizing invariant data perturbation with stochastic optimization
K Ikeno, S Hara
arXiv preprint arXiv:1807.05077, 2018
72018
Consistent and Efficient Nonparametric Different-Feature Selection
ST Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto
Proceedings of the 20th International Conference on Artificial Intelligence …, 2017
7*2017
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