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Ankur Garg

Ph.D. Student
University of Chicago
garga (at) uchicago (dot) edu


About Me

I am a Ph.D. student in the Department of Statistics at the University of Chicago, advised by Aaron Schein. My research develops Bayesian methods for learning latent structure in complex data. My recent work has developed a Bayesian Approach to Causal Representation Learning.

Publications

  1. Preprint
    Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
    Ankur Garg, Michael Stettler, Aaron Schein, Julius von Kügelgen
    Preprint. Presented at ISBA World Meeting 2026.
    Paper Poster Slides Code ISBA 2026 talk


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