Causal Seminar — Entidade

datascience.harvard.edu·há mais de 1 ano

Causal Seminar: Maggie Makar, University of Michigan

Title: Towards causally motivated robustness to distribution shifts Abstract: One of the common failure modes of machine learning (ML) models is their lack of robustness to distribution

datascience.harvard.edu·há quase 2 anos

Causal Seminar: Sara Magliacane, University of Amsterdam

The reading group will meet at 2PM before the seminar. Causal representation learning in temporal settings with actions Causal inference reasons about the effect of unseen interventions or external ma

datascience.harvard.edu·há mais de 2 anos

Causal Seminar: John Jackson, Johns Hopkins University

Evaluating Effects of Multilevel Interventions on Disparity in Health and Healthcare Decisions In this talk I will discuss an analytic approach for assessing effects of multilevel interventions on dis

datascience.harvard.edu·há mais de 2 anos

Causal Seminar: Paul Rosenbaum, University of Pennsylvania

Being Realistic About Unmeasured Biases in Observational Studies The talk is intended as an introduction to some recent technical work, but I don’t recommend reading the technical work prior to the ta

datascience.harvard.edu·há quase 3 anos

Causal Seminar: Susan Athey, Stanford University

Learning Targeted Treatment Assignment Policies with Adaptive Experiments: Theory and Applications Randomized experiments have long been used to learn what treatment works best, but uniform randomizat

datascience.harvard.edu·há 6 meses

Causal Inference Showcase

Join us for five presentations on causal inference from Ph.D. candidates from around the university. Refreshments will be provided. Learning What to Learn: Experimental Design when Combining Experimen

datascience.harvard.edu·há 6 meses

Causal Seminar: Davide Viviano

Title, and abstract TBD Davide Viviano Assistant Professor of Economics, Harvard Faculty of Arts and Sciences Davide Viviano is an Assistant Professor in the Department of Economics at Harvard Un

datascience.harvard.edu·há 4 meses

Causal Seminar: Rui Duan

Collaborative Statistical Inference for Treatment Effects Across Diverse Populations Federated causal inference enables the estimation of treatment effects using data from multiple sites when individu