Search Results
Distribution generalization and causal inference (joint webinar series)
Joris Mooij: Joint Causal Inference: A Unifying Perspective on Causal Discovery
Jonas Peters: Causality and Distribution Generalization
Extrapolation to unseen domains: from theory to applications (joint webinar series)
Nicola Gnecco: Causal Discovery in Heavy-Tailed Models
Sara Magliacane: Domain adaptation by using causal inference
Michael Oberst: Regularizing towards Causal Invariance: Linear Models with Proxies
Webinar on "Overview and current directions in causal inference" By Debashis Ghosh
Eric Tchetgen Tchetgen: Selective Machine Learning of Doubly Robust Functionals
Susan Murphy: Inference for Batched Bandits
Vasilis Syrgkanis (Microsoft Research) -- Statistical learning for causal inference
Elizabeth Ogburn: Social network dependence, unmeasured confounding, and the replication crisis
