Zijian Guo: Multi-Source Learning with Minimax Optimization: Adversarial Robustness to Invariance

Angela Zhou: Robust Fitted-Q-Evaluation & Iteration under Sequentially Exogenous Unobsvd Confounders

Young researchers' seminar: Drago Plečko and Daiqi Gao

[SCI+OCIS] Roundtable Panel – Exploring Career Paths in Pharma, Government, and Technology

Nathan Kallus: Learning Surrogate Indices from Historical A/Bs Adversarial ML for Debiased Inference

Dylan Small: Exploration, Confirmation, and Replication in the Same Observational Study

Guido Imbens: Identification of nonparametric factor models for average treatment effects

Alberto Abadie: Synthetic Controls for Experimental Design

Katherine A. Keith: Proximal Causal Inference with Text Data

[SCI+OCIS] Elizabeth A. Stuart: Lessons in "causality" from National Academies consensus panels

Vasilis Syrgkanis: Detecting clinician implicit biases in diagnoses using proximal causal inference

David Bruns-Smith: Augmented balancing weights as linear regression

Julius von Kügelgen: Multi-Domain Causal Representation Learning

Eric Tchetgen Tchetgen: Revisiting Identification in the Binary IV Model: the NATE and Beyond

Corwin Zigler: Causal health impacts of power plant emission controls ...

Michal Kolesár: Evaluating Counterfactual Policies Using Instruments

Anne Helby Petersen: Two perspectives on interpretable evaluation of causal discovery algorithms

Davide Viviano: Program Evaluation with Remotely Sensed Outcomes

Qingyuan Zhao: On statistical and causal models associated with acyclic directed mixed graphs (ADMG)

Panos Toulis & W. Guo: ML-assisted Randomization Tests for Complex Treatment Effects in A/B Expts

Yiqing Xu: Factorial Difference-in-Differences

Jared Murray: A Unifying Weighting Perspective on Causal Machine Learning

Tianchen Qian: Causal inference and machine learning in mobile health

Yuyao Wang: Learning treatment effects under covariate dependent left truncation and right censoring

Jinzhou Li: Root cause discovery via permutations and Cholesky decomposition

Toru Kitagawa: Policy Choice in Time-Series by Empirical Welfare Maximization

Alexis Bellot: Partial Transportability for Domain Generalization

Oliver Dukes: Nonparametric tests of treatment effect homogeneity for policy-makers

Bijan Mazaheri: Synthetic Potential Outcomes and the Hierarchy of Causal Identifiability

Philipp Faller: Self-compatibility: Evaluating causal discovery without ground truth