Panel: National Academies Report on “Frontiers of Statistics in Science and Engineering: 2035 and Beyond”

Panel
June 24, 2026

Integrating Epigenetic Clocks via Deep Neural Networks

Peter Song
June 24, 2026

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data

Xiudi Li
June 24, 2026

Attention Seeking in Genome-wide Association Studies

Heping Zhang
June 24, 2026

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