Machine Learning: Inference for High-Dimensional Regression
36:38
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets
39:30
Double Machine Learning for Causal and Treatment Effects
43:49
Larry Wasserman - Problems With Bayesian Causal Inference
1:30:15
High-Dimensional Statistics I
38:08
A Tutorial on Conformal Prediction
1:13:02
Overparameterization in machine learning: insights from linear models – Andrea Montanari
45:55
Susan Athey, "Machine Learning and Causal Inference for Policy Evaluation"
33:12