Tatsushi Oka

According to our database, Tatsushi Oka authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 2025

On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization.

Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Latent Variable Modeling for Robust Causal Effect Estimation.

Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Exploring Explanations Improves the Robustness of In-Context Learning.

Ukyo Honda, Tatsushi Oka

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction.

Undral Byambadalai, Tatsushi Oka, Shota Yasui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safe Collaborative Filtering.

Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura

Proceedings of the Twelfth International Conference on Learning Representations, 2024