Vasilis Syrgkanis

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning

Learning Treatment Representations for Downstream Instrumental Variable Regression

A Meta-learner for Heterogeneous Effects in Difference-in-Differences

It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation

Estimation of Treatment Effects in Extreme and Unobserved Data

Preference Learning with Response Time: Robust Losses and Guarantees

Regularized DeepIV with Model Selection

Direct Preference Optimization With Unobserved Preference Heterogeneity