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stat.ML2021
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise
Vivek F. Farias, Andrew A. Li, Tianyi Peng
The problem of low-rank matrix completion with heterogeneous and sub-exponential (as opposed to homogeneous and Gaussian) noise is particularly relevant to a number of applications…
stat.ML2020
Causal Inference With Selectively Deconfounded Data
Kyra Gan, Andrew A. Li, Zachary C. Lipton +1
Given only data generated by a standard confounding graph with unobserved confounder, the Average Treatment Effect (ATE) is not identifiable. To estimate the ATE, a practitioner mu…