Satoshi Hara
Satoshi Hara
Assistant Professor, Osaka University
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Cited by
Making Tree Ensembles Interpretable
S Hara, K Hayashi
2016 Workshop on Human Interpretability in Machine Learning, 81-85, 2016
Making tree ensembles interpretable: A Bayesian model selection approach
S Hara, K Hayashi
Proceedings of the 21th International Conference on Artificial Intelligence …, 2016
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
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
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Learning a common substructure of multiple graphical Gaussian models
S Hara, T Washio
Neural Networks 38, 23-38, 2012
Stationary subspace analysis as a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von Bünau
International Conference on Neural Information Processing, 422-429, 2010
Data Cleansing for Models Trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32 (NeurIPS'19), 2019
Quantile regression approach to conditional mode estimation
H Ota, K Kato, S Hara
Electronic Journal of Statistics 13 (2), 3120-3160, 2019
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
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
Common substructure learning of multiple graphical gaussian models
S Hara, T Washio
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
Approximate and exact enumeration of rule models
S Hara, M Ishihata
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Direct density ratio estimation with dimensionality reduction
M Sugiyama, S Hara, P Von Bünau, T Suzuki, T Kanamori, M Kawanabe
Proceedings of the 2010 SIAM International Conference on Data Mining, 595-606, 2010
Maximally invariant data perturbation as explanation
S Hara, K Ikeno, T Soma, T Maehara
arXiv preprint arXiv:1806.07004, 2018
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
Faking Fairness via Stealthily Biased Sampling
K Fukuchi, S Hara, T Maehara
arXiv preprint arXiv:1901.08291, 2019
Maximizing invariant data perturbation with stochastic optimization
K Ikeno, S Hara
arXiv preprint arXiv:1807.05077, 2018
Discounted average degree density metric and new algorithms for the densest subgraph problem
H Yanagisawa, S Hara
Networks 71 (1), 3-15, 2018
Finding alternate features in lasso
S Hara, T Maehara
arXiv preprint arXiv:1611.05940, 2016
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