Safe Collaborative Filtering. - Riku Togashi; Tatsushi Oka; Naoto Ohsaka; Tetsuro Morimura (ICLR, 2024)

Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction. - Undral Byambadalai; Tatsushi Oka; Shota Yasui (ICML, 2024)

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding. - Ukyo Honda; Tatsushi Oka; Peinan Zhang; Masato Mita (Trans. Assoc. Comput. Linguistics, 2024)

Exploring Explanations Improves the Robustness of In-Context Learning. - Ukyo Honda; Tatsushi Oka (ACL (1), 2025)

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks. - Tomu Hirata; Undral Byambadalai; Tatsushi Oka; Shota Yasui; Shingo Uto (CoRR, 2025)

Latent Variable Modeling for Robust Causal Effect Estimation. - Tetsuro Morimura; Tatsushi Oka; Yugo Suzuki; Daisuke Moriwaki (CoRR, 2025)