59:50

Bin Yu: Why Veridical Data Science? And How?

1:05:53

Andrew Gelman: Learning from mistakes

52:24

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

1:01:13

Rina Foygel Barber: Stability of black-box algorithms

28:05

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

50:22

Rui Song: On causal decision making

1:08:01

Mengye Ren: Lifelong Learning in Structured Environments

1:07:26

RL Theory Seminar: Max Simchowitz