talks Mila Tea Talk (2022) Some Steps Toward Causal Representation Learning Causality in Healthcare Workshop Jason Hartford (segment) Scaling Biological Representation Learning and Experimental Design Jason Hartford UAI 2023 Tutorial Causal Representation Learning Mila Tea Talk (2020) Valid Causal Inference with (Some) Invalid Instruments MLDD Summer School (2024) Causal Discovery & Representation Learning Vector Visitor Talk Jason Hartford Tutorial on Causal Representation Learning Jason Hartford & Dhanya Sridhar MoML 2024 Efficiently Exploring Combinatorial Perturbations From High Dimensional Observations ML Retrospectives Retrospective on DeepIV and some general thoughts on research strategy NeurIPS 2016 Oral Deep Learning for Predicting Human Strategic Behavior
