Publications

(2022). Stochastic Optimization Forests. Accepted by Management Science.

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(2021). Fast Rates for Contextual Linear Optimization. Accepted by Management Science Fast Track.

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(2021). Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes. Accepted by Operations Research. Preliminary Version Accepted in COLT 2020. Finalist for Applied Probability Society 2020 Best Student Paper Competition.

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(2021). Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination. Forthcoming in Management Science Special Issue on Data-Driven Prescriptive Analytics (Preliminary Version Accepted in FAT* 2020 and NEURIPS 2019 Workshop on Fair ML for Health).

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(2021). Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models. arxiv preprint 2108.03849.

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(2021). Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach. arxiv preprint 2103.14029.

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(2020). On the role of surrogates in the efficient estimation of treatment effects with limited outcome data. arxiv preprint 2003.12408.

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(2019). Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond. arxiv preprint 1912.12945.

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(2019). Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding. In AISTATS2019.

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(2019). Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. In ACM FAT* 2019.

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(2018). Causal Inference with Noisy and Missing Covariates via Matrix Factorization. In NeurIPS 2018.

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