| 2025 | AISTATS | Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. | Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi |
| 2025 | ICML | Meta Optimality for Demographic Parity Constrained Regression via Post-Processing. | Kazuto Fukuchi |
| 2024 | GECCO | Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. | Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2023 | IJCAI | Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. | Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2023 | WACV | Certified Defense for Content Based Image Retrieval. | Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma |
| 2022 | AAAI | Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. | Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | GECCO | Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. | Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2022 | IJCNN | Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. | Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | IJCNN | CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. | Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | IJCNN | Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. | Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | GECCO | Adaptive scenario subset selection for min-max black-box continuous optimization. | Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | GECCO | Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. | Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | GECCO | Level generation for angry birds with sequential VAE and latent variable evolution. | Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2020 | AAAI | Faking Fairness via Stealthily Biased Sampling. | Kazuto Fukuchi, Satoshi Hara, Takanori Maehara |
| 2020 | GECCO | Deep generative model for non-convex constraint handling. | Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2020 | KDD | Statistically Significant Pattern Mining with Ordinal Utility. | Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2018 | ISIT | Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. | Kazuto Fukuchi, Jun Sakuma |
| 2017 | DIS | Differentially Private Empirical Risk Minimization with Input Perturbation. | Kazuto Fukuchi, Quang-Khai Tran, Jun Sakuma |
| 2017 | ICML | Differentially Private Chi-squared Test by Unit Circle Mechanism. | Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma |
| 2017 | ISIT | Minimax optimal estimators for additive scalar functionals of discrete distributions. | Kazuto Fukuchi, Jun Sakuma |