Kazuto Fukuchi

63 papers A* 8A 9B 6Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Provable Target Sample Complexity Improvements as Pre-Trained Models Scale. CoRR Kazuto Fukuchi, Ryuichiro Hataya, Kota Matsui
2025	J	`jnl`	Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval. IEICE Trans. Inf. Syst. Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2025	A	`conf`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. AISTATS Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2025	A*	`conf`	Meta Optimality for Demographic Parity Constrained Regression via Post-Processing. ICML Kazuto Fukuchi
2025	J	`jnl`	Meta Optimality for Demographic Parity Constrained Regression via Post-Processing. CoRR Kazuto Fukuchi
2024	J	`jnl`	Adversarial Attacks on Hidden Tasks in Multi-Task Learning. CoRR Yu Zhe, Rei Nagaike, Daiki Nishiyama, Kazuto Fukuchi, Jun Sakuma
2024	J	`jnl`	Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy. CoRR Shojiro Yamabe, Kazuto Fukuchi, Ryoma Senda, Jun Sakuma
2024	J	`jnl`	Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Trans. Evol. Comput. Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2024	J	`jnl`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. CoRR Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2024	—	`conf`	Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. GECCO Companion Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. Appl. Soft Comput. Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. IEICE Trans. Inf. Syst. Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A	`conf`	Certified Defense for Content Based Image Retrieval. WACV Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2023	J	`jnl`	Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. ACM Trans. Evol. Learn. Optim. Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and its Application to Berthing Control Tasks. CoRR Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	A*	`conf`	Demographic Parity Constrained Minimax Optimal Regression under Linear Model. NeurIPS Kazuto Fukuchi, Jun Sakuma
2023	J	`jnl`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	A	`conf`	Privformer: Privacy-preserving Transformer with MPC. EuroS&P Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A*	`conf`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	A	`conf`	Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. IJCNN Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	A	`conf`	Domain Generalization Via Adversarially Learned Novel Domains. ICME Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Domain Generalization via Adversarially Learned Novel Domains. IEEE Access Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. IEEE Access Naoki Sakamoto, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Locally Differentially Private Minimum Finding. IEICE Trans. Inf. Syst. Kazuto Fukuchi, Chia-Mu Yu, Jun Sakuma
2022	A*	`conf`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. NeurIPS Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. CoRR Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	A*	`conf`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2021	A	`conf`	Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. GECCO Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Level generation for angry birds with sequential VAE and latent variable evolution. GECCO Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	A	`conf`	Deep generative model for non-convex constraint handling. GECCO Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2020	A*	`conf`	Faking Fairness via Stealthily Biased Sampling. AAAI Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
2020	A*	`conf`	Statistically Significant Pattern Mining with Ordinal Utility. KDD Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Statistically Significant Pattern Mining with Ordinal Utility. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2019	J	`jnl`	Locally Differentially Private Minimum Finding. CoRR Kazuto Fukuchi, Chia-Mu Yu, Arashi Haishima, Jun Sakuma
2019	J	`jnl`	Pretending Fair Decisions via Stealthily Biased Sampling. CoRR Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
2018	J	`jnl`	Minimax Optimal Additive Functional Estimation with Discrete Distribution. CoRR Kazuto Fukuchi, Jun Sakuma
2018	B	`conf`	Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. ISIT Kazuto Fukuchi, Jun Sakuma
2018	J	`jnl`	Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. CoRR Kazuto Fukuchi, Jun Sakuma
2017	A*	`conf`	Differentially Private Chi-squared Test by Unit Circle Mechanism. ICML Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2017	B	`conf`	Differentially Private Empirical Risk Minimization with Input Perturbation. DS Kazuto Fukuchi, Quang-Khai Tran, Jun Sakuma
2017	J	`jnl`	Differentially Private Empirical Risk Minimization with Input Perturbation. CoRR Kazuto Fukuchi, Quang-Khai Tran, Jun Sakuma
2017	J	`jnl`	Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions. CoRR Kazuto Fukuchi, Jun Sakuma
2017	B	`conf`	Minimax optimal estimators for additive scalar functionals of discrete distributions. ISIT Kazuto Fukuchi, Jun Sakuma
2015	—	`conf`	Differentially Private Analysis of Outliers. ECML/PKDD (2) Rina Okada, Kazuto Fukuchi, Jun Sakuma
2015	J	`jnl`	Differentially Private Analysis of Outliers. CoRR Rina Okada, Kazuto Fukuchi, Kazuya Kakizaki, Jun Sakuma
2015	J	`jnl`	Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences. CoRR Kazuto Fukuchi, Jun Sakuma
2015	J	`jnl`	Prediction with Model-Based Neutrality. IEICE Trans. Inf. Syst. Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma
2014	—	`conf`	Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. ECML/PKDD (1) Kazuto Fukuchi, Jun Sakuma
2013	—	`conf`	Prediction with Model-Based Neutrality. ECML/PKDD (2) Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima