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Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise


Oct 22, 2021
Vivek F. Farias, Andrew A. Li, Tianyi Peng


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Learning Treatment Effects in Panels with General Intervention Patterns


Jun 05, 2021
Vivek F. Farias, Andrew A. Li, Tianyi Peng


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Fair Exploration via Axiomatic Bargaining


Jun 04, 2021
Jackie Baek, Vivek F. Farias


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Optimizing Offer Sets in Sub-Linear Time


Nov 17, 2020
Vivek F. Farias, Andrew A. Li, Deeksha Sinha

* 30 pages, 3 figures. Proceedings of the 21st ACM Conference on Economics and Computation. 2020 

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Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection


Jun 23, 2020
Vivek F. Farias, Andrew A. Li, Tianyi Peng


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The Limits to Learning an SIR Process: Granular Forecasting for Covid-19


Jun 11, 2020
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng


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TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation


Jun 11, 2020
Jackie Baek, Vivek F. Farias


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Sparse Choice Models


Sep 21, 2011
Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah

* 28 pages 

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Universal Reinforcement Learning


Jul 22, 2009
Vivek F. Farias, Ciamac C. Moallemi, Tsachy Weissman, Benjamin Van Roy


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