59:50

Bin Yu: Why Veridical Data Science? And How?

1:05:53

Andrew Gelman: Learning from mistakes

50:22

Rui Song: On causal decision making

52:24

OWOS: Frank E Curtis - "SQP Methods for Deterministically Constrained Stochastic Optimization"

58:02

Andrej Risteski: The statistical cost of score-based losses

59:20

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

28:05

Louis-Martin Rousseau: "Combining Reinforcement Learning & Constraint Programming for Combinator..."

1:01:13

Rina Foygel Barber: Stability of black-box algorithms