18 citations · 24 across the 7 of their papers we have counts for
8 papers
The Nonstationary Newsvendor with (and without) Predictions
Lin An, Andrew A. Li, Benjamin Moseley +1
The classic newsvendor model yields an optimal decision for a ``newsvendor'' selecting a quantity of inventory, under the assumption that the demand is drawn from a known distribut…
Markovian Interference in Experiments
Vivek F. Farias, Andrew A. Li, Tianyi Peng +1
We consider experiments in dynamical systems where interventions on some experimental units impact other units through a limiting constraint (such as a limited inventory). Despite…
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…
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek F. Farias, Andrew A. Li, Tianyi Peng
The problem of causal inference with panel data is a central econometric question. The following is a fundamental version of this problem: Let be a low rank matrix and be…
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan, Su Jia, Andrew Li
In the problem of active sequential hypothesis testing (ASHT), a learner seeks to identify the true hypothesis from among a known set of hypotheses. The learner is given a set of a…
Optimizing Offer Sets in Sub-Linear Time
Vivek F. Farias, Andrew A. Li, Deeksha Sinha
Personalization and recommendations are now accepted as core competencies in just about every online setting, ranging from media platforms to e-commerce to social networks. While t…
Fixing Inventory Inaccuracies At Scale
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Inaccurate records of inventory occur frequently, and by some measures cost retailers approximately 4% in annual sales. Detecting inventory inaccuracies manually is cost-prohibitiv…
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…