1:07:10

Bikram Karmakar: A new paradigm for causal inference in the presence of unmeasured confounders

1:05:53

Andrew Gelman: Learning from mistakes

50:22

Rui Song: On causal decision making

58:02

Andrej Risteski: The statistical cost of score-based losses

1:00:29

Model-Free Selective Inference

1:03:52

Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection

59:50

Bin Yu: Why Veridical Data Science? And How?

59:20

Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking