| 2025 | AAAI | Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions. | Yuya Hikima, Akiko Takeda |
| 2025 | COLT | The Adaptive Complexity of Finding a Stationary Point. | Huanjian Zhou, Andi Han, Akiko Takeda, Masashi Sugiyama |
| 2025 | ICLR | Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization. | Rei Higuchi, Pierre-Louis Poirion, Akiko Takeda |
| 2025 | ICML | On the Role of Label Noise in the Feature Learning Process. | Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki |
| 2025 | ICML | Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method. | Andi Han, Pierre-Louis Poirion, Akiko Takeda |
| 2025 | ICML | Modified K-means Algorithm with Local Optimality Guarantees. | Mingyi Li, Michael R. Metel, Akiko Takeda |
| 2023 | UAI | Robust Gaussian process regression with the trimmed marginal likelihood. | Daniel Andrade, Akiko Takeda |
| 2021 | CIKM | A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. | Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka |
| 2020 | WWW | Convex Fairness Constrained Model Using Causal Effect Estimators. | Hikaru Ogura, Akiko Takeda |
| 2019 | ICML | Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization. | Michael R. Metel, Akiko Takeda |
| 2018 | ICDM | Robust Densest Subgraph Discovery. | Atsushi Miyauchi, Akiko Takeda |
| 2018 | ICML | Nonconvex Optimization for Regression with Fairness Constraints. | Junpei Komiyama, Akiko Takeda, Junya Honda, Hajime Shimao |
| 2015 | AISTATS | Robust Cost Sensitive Support Vector Machine. | Shuichi Katsumata, Akiko Takeda |
| 2014 | AISTATS | Global Optimization Methods for Extended Fisher Discriminant Analysis. | Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda |
| 2014 | ICMV | Memory-efficient large-scale linear support vector machine. | Abdullah Alrajeh, Akiko Takeda, Mahesan Niranjan |
| 2012 | ICML | A Unified Robust Classification Model. | Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori |
| 2012 | ICONIP | Non-convex Optimization on Stiefel Manifold and Applications to Machine Learning. | Takafumi Kanamori, Akiko Takeda |
| 2008 | ICML | Untitled record | Akiko Takeda, Masashi Sugiyama |