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On Multivariate Singular Spectrum Analysis

Jun 24, 2020
Anish Agarwal, Abdullah Alomar, Devavrat Shah


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Estimation of Skill Distributions

Jun 15, 2020
Ali Jadbabaie, Anuran Makur, Devavrat Shah

* 37 pages, 1 figure 

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Synthetic Interventions

Jun 13, 2020
Anish Agarwal, Abdullah Alomar, Romain Cosson, Devavrat Shah, Dennis Shen


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Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

Jun 11, 2020
Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang


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Stable Reinforcement Learning with Unbounded State Space

Jun 08, 2020
Devavrat Shah, Qiaomin Xie, Zhi Xu


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Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?

May 10, 2020
Anish Agarwal, Abdullah Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang


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On Reinforcement Learning for Turn-based Zero-sum Markov Games

Feb 25, 2020
Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu


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Short and Wide Network Paths

Nov 01, 2019
Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale


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Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation

Aug 03, 2019
Devavrat Shah, Christina Lee Yu


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On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis

Apr 12, 2019
Devavrat Shah, Qiaomin Xie, Zhi Xu


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Time Series Predict DB

Mar 17, 2019
Abdullah Alomar, Muhammad J. Amjad, Robert Lindland, Devavrat Shah


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Model Agnostic High-Dimensional Error-in-Variable Regression

Mar 12, 2019
Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song

* 51 pages 

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Learning Mixture Model with Missing Values and its Application to Rankings

Dec 31, 2018
Devavrat Shah, Dogyoon Song

* 47 pages, 4 figures 

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Q-learning with Nearest Neighbors

Oct 23, 2018
Devavrat Shah, Qiaomin Xie

* Accepted to NIPS 2018 

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Regret vs. Bandwidth Trade-off for Recommendation Systems

Oct 15, 2018
Linqi Song, Christina Fragouli, Devavrat Shah


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Time Series Analysis via Matrix Estimation

Aug 24, 2018
Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen


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Leaders, Followers, and Community Detectio

Jun 29, 2018
Dhruv Parthasarathy, Devavrat Shah, Tauhid Zaman

* 11 pages, 6 figures 

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Reducing Crowdsourcing to Graphon Estimation, Statistically

Feb 21, 2018
Devavrat Shah, Christina Lee Yu


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Robust Synthetic Control

Nov 18, 2017
Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen


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Regret Guarantees for Item-Item Collaborative Filtering

Jan 08, 2016
Guy Bresler, Devavrat Shah, Luis F. Voloch


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Rank Centrality: Ranking from Pair-wise Comparisons

Nov 12, 2015
Sahand Negahban, Sewoong Oh, Devavrat Shah

* 45 pages, 3 figures 

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A Latent Source Model for Patch-Based Image Segmentation

Oct 06, 2015
George Chen, Devavrat Shah, Polina Golland

* International Conference on Medical Image Computing and Computer Assisted Interventions 2015 

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Structure learning of antiferromagnetic Ising models

Dec 03, 2014
Guy Bresler, David Gamarnik, Devavrat Shah

* 15 pages. NIPS 2014 

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Learning graphical models from the Glauber dynamics

Nov 29, 2014
Guy Bresler, David Gamarnik, Devavrat Shah

* 9 pages. Appeared in Allerton Conference 2014 

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Learning Mixed Multinomial Logit Model from Ordinal Data

Nov 01, 2014
Sewoong Oh, Devavrat Shah

* 18 pages, 1 figure 

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A Latent Source Model for Online Collaborative Filtering

Oct 31, 2014
Guy Bresler, George H. Chen, Devavrat Shah

* Advances in Neural Information Processing Systems (NIPS 2014) 

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Bayesian regression and Bitcoin

Oct 06, 2014
Devavrat Shah, Kang Zhang

* Preliminary version appeared in the Proceedings of 2014 Allerton Conference on Communication, Control, and Computing 

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Hardness of parameter estimation in graphical models

Sep 17, 2014
Guy Bresler, David Gamarnik, Devavrat Shah

* 15 pages. To appear in NIPS 2014 

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