Sirui Lin — accepted AI-conference papers

2025

Tightening Causal Bounds via Covariate-Aware Optimal Transport

Sirui Lin, Zijun Gao, Jose Blanchet, Peter Glynn

ICML 2025poster

Causal estimands can vary significantly depending on the relationship between outcomes in treatment and control groups, leading to wide partial identification (PI) intervals that impede decision making. Incorporating covariates can substantially tighten these bounds, but requires determining the ran…

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2022

Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints

Jiajin Li, Sirui Lin, Jose Blanchet, Viet Anh Nguyen

NeurIPS 2022accept

Distributionally robust optimization (DRO) has been shown to offer a principled way to regularize learning models. In this paper, we find that Tikhonov regularization is distributionally robust in an optimal transport sense (i.e. if an adversary chooses distributions in a suitable optimal transport…

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