News
3 papers accepted at AISTATS 2026
January 23, 2026
Our paper has been accepted at The Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026) (external link).
Duality-based Residual Estimation for Fully Offline Value-based Reinforcement Learning.
Kohei Miyaguchi
Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond.
Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
FedDuA: Doubly Adaptive Federated Learning.
Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa