Study Repo

08-27

Meta-learners for Estimating Heterogeneous Treatment Effect

08-27

Double Machine Learning for Treatment and Structural Parameters

10-03

The Causal-Neural Connection Expressiveness, Learnability, and Inference

09-22

A Simulation-Based Test of Identifiability for Bayesian Causal Inference

09-22

Implicit Causal Models for Genome-wide Association Studies

08-18

Transportability of Causal and Statistical Relations: A Formal Approach

07-21

Characterizing Optimal Mixed Policies

07-05

Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes

07-05

Identifying Dynamic Sequential Plans

07-05

On the Identification of Causal Effects