Variance Reduction and Adaptive Sampling in Reinforcement Learning with Verifiable Rewards

Tong Zhang
June 23, 2026

Lightning Talks Session One

Lightning Talks 1
June 23, 2026

Learning under Partial Knowledge: Robust Generalisation and Imprecise Forecasting

Krikamol Muandet
June 23, 2026

Learning Surrogate Indices from Historical A/Bs: Adversarial ML for Debiased Inference on Functionals of Ill-Posed Inverses

Nathan Kallus
June 23, 2026

Improving Personalization and Consistency of Large Foundation Models

Jindong Wang
June 23, 2026

Unsupervised Federated Multi-Task Learning for Heterogeneous Tasks

Yang Feng
June 22, 2026

Transfer learning for ridge regression with random coefficients

Hongzhe Li
June 22, 2026

Semiparametric Mediation Analysis with Separately Observed Mediator and Outcome under Unmeasured Confounding

Sijia Li
June 22, 2026

Estimating Long-Term Treatment Effects by Integrating Randomized Trials and Real-World Data under Unmeasured Confounding, Study Heterogeneity, and Informative Dropout

Shu Yang
June 22, 2026