Research

(2024). Online Data Collection for Efficient Semiparametric Inference.

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(2024). Timing as an Action: Learning When to Observe and Act. AISTATS 2024.

Preprint PDF Code Poster

(2023). Local Causal Discovery for Estimating Causal Effects. CLeaR 2023.

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(2022). Differentiable State Space Models and Hamiltonian Monte Carlo Estimation. Submitted.

PDF Code NBER WP30573

(2021). Efficient Online Estimation of Causal Effects by Deciding What to Observe. NeuRIPS 2021.

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(2021). Estimating Treatment Effects with Observed Confounders and Mediators. UAI 2021.

Preprint

Teaching

I taught the following courses at Carnegie Mellon:

Curriculum Vitae

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