Kazuto Fukuchi
Titolo
Citata da
Citata da
Anno
Prediction with model-based neutrality
K Fukuchi, T Kamishima, J Sakuma
IEICE TRANSACTIONS on Information and Systems 98 (8), 1503-1516, 2015
412015
Differentially private chi-squared test by unit circle mechanism
K Kakizaki, K Fukuchi, J Sakuma
International Conference on Machine Learning, 1761-1770, 2017
182017
Differentially private empirical risk minimization with input perturbation
K Fukuchi, QK Tran, J Sakuma
International Conference on Discovery Science, 82-90, 2017
112017
Differentially private analysis of outliers
R Okada, K Fukuchi, J Sakuma
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
102015
Minimax optimal estimators for additive scalar functionals of discrete distributions
K Fukuchi, J Sakuma
2017 IEEE International Symposium on Information Theory (ISIT), 2103-2107, 2017
72017
Neutralized empirical risk minimization with generalization neutrality bound
K Fukuchi, J Sakuma
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
52014
Faking fairness via stealthily biased sampling
K Fukuchi, S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 412-419, 2020
22020
Convergence Rate of the (1+ 1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions
D Morinaga, K Fukuchi, J Sakuma, Y Akimoto
arXiv preprint arXiv:2103.01578, 2021
12021
Pretending fair decisions via stealthily biased sampling
K Fukuchi, S Hara, T Maehara
arXiv preprint arXiv:1901.08291, 2019
12019
Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences
K Fukuchi, J Sakuma
arXiv preprint arXiv:1506.07721, 2015
12015
Statistically Significant Pattern Mining with Ordinal Utility
TQ Tran, K Fukuchi, Y Akimoto, J Sakuma
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
2020
Deep generative model for non-convex constraint handling
N Sakamoto, E Semmatsu, K Fukuchi, J Sakuma, Y Akimoto
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 636-644, 2020
2020
Locally Differentially Private Minimum Finding
K Fukuchi, CM Yu, A Haishima, J Sakuma
arXiv preprint arXiv:1905.11067, 2019
2019
Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case
K Fukuchi, J Sakuma
2018 IEEE International Symposium on Information Theory (ISIT), 1041-1045, 2018
2018
Theoretical Analyses of Learning under Fairness
K Fukuchi
筑波大学 (University of Tsukuba), 2018
2018
Consequently Fair Contextual Bandit Learning
K Fukuchi, J Sakuma
IEICE Technical Report; IEICE Tech. Rep. 117 (293), 139-146, 2017
2017
Neutralized Empirical Risk Minimization with Generalization Neutrality Risk Bound
K Fukuchi
University of Tsukuba, 2015
2015
Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
K Fukuchi, J Sakuma
IEICE Technical Report; IEICE Tech. Rep. 114 (198), 93-100, 2014
2014
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