Shah, Devavrat

43 publications

JMLR 2025 On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls Anish Agarwal, Devavrat Shah, Dennis Shen

ICMLW 2024 Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J Wainwright

NeurIPS 2024 Human Expertise in Algorithmic Prediction Rohan Alur, Manish Raghavan, Devavrat Shah

NeurIPS 2023 Auditing for Human Expertise Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung

ICMLW 2023 Auditing for Human Expertise Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung

COLT 2023 Causal Matrix Completion Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen

ICML 2023 Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah

ICML 2023 Matrix Estimation for Individual Fairness Cindy Zhang, Sarah Huiyi Cen, Devavrat Shah

NeurIPS 2023 SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise Abdullah Alomar, Munther Dahleh, Sean Mann, Devavrat Shah

AISTATS 2022 Regret, Stability & Fairness in Matching Markets with Bandit Learners Sarah H. Cen, Devavrat Shah

NeurIPSW 2022 A Causal Inference Framework for Network Interference with Panel Data Sarah Huiyi Cen, Anish Agarwal, Christina Yu, Devavrat Shah

CLeaR 2022 Causal Imputation via Synthetic Interventions Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler

NeurIPSW 2022 On Counterfactual Inference with Unobserved Confounding Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory Wornell

L4DC 2022 Time Varying Regression with Hidden Linear Dynamics Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra

AISTATS 2021 On Learning Continuous Pairwise Markov Random Fields Abhin Shah, Devavrat Shah, Gregory Wornell

NeurIPS 2021 A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah, Devavrat Shah, Gregory Wornell

NeurIPS 2021 Change Point Detection via Multivariate Singular Spectrum Analysis Arwa Alanqary, Abdullah Alomar, Devavrat Shah

NeurIPS 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang

COLT 2021 Quantifying Variational Approximation for Log-Partition Function Romain Cosson, Devavrat Shah

NeurIPS 2021 Regulating Algorithmic Filtering on Social Media Sarah Cen, Devavrat Shah

NeurIPS 2020 Estimation of Skill Distribution from a Tournament Ali Jadbabaie, Anuran Makur, Devavrat Shah

NeurIPS 2020 Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang

L4DC 2020 Stable Reinforcement Learning with Unbounded State Space Devavrat Shah, Qiaomin Xie, Zhi Xu

NeurIPS 2019 On Robustness of Principal Component Regression Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song

FnTML 2018 Explaining the Success of Nearest Neighbor Methods in Prediction George H. Chen, Devavrat Shah

NeurIPS 2018 Q-Learning with Nearest Neighbors Devavrat Shah, Qiaomin Xie

AISTATS 2018 Reducing Crowdsourcing to Graphon Estimation, Statistically Devavrat Shah, Christina E. Lee

JMLR 2018 Robust Synthetic Control Muhammad Amjad, Devavrat Shah, Dennis Shen

NeurIPS 2017 Thy Friend Is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation Christian Borgs, Jennifer Chayes, Christina E. Lee, Devavrat Shah

NeurIPS 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering Dogyoon Song, Christina E. Lee, Yihua Li, Devavrat Shah

NeurIPS 2014 A Latent Source Model for Online Collaborative Filtering Guy Bresler, George H Chen, Devavrat Shah

NeurIPS 2014 Hardness of Parameter Estimation in Graphical Models Guy Bresler, David Gamarnik, Devavrat Shah

NeurIPS 2014 Learning Mixed Multinomial Logit Model from Ordinal Data Sewoong Oh, Devavrat Shah

NeurIPS 2014 Structure Learning of Antiferromagnetic Ising Models Guy Bresler, David Gamarnik, Devavrat Shah

NeurIPS 2013 A Latent Source Model for Nonparametric Time Series Classification George H Chen, Stanislav Nikolov, Devavrat Shah

NeurIPS 2013 Computing the Stationary Distribution Locally Christina E. Lee, Asuman Ozdaglar, Devavrat Shah

NeurIPS 2012 Iterative Ranking from Pair-Wise Comparisons Sahand Negahban, Sewoong Oh, Devavrat Shah

NeurIPS 2011 Iterative Learning for Reliable Crowdsourcing Systems David R. Karger, Sewoong Oh, Devavrat Shah

NeurIPS 2009 A Data-Driven Approach to Modeling Choice Vivek Farias, Srikanth Jagabathula, Devavrat Shah

NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? Kyomin Jung, Pushmeet Kohli, Devavrat Shah

NeurIPS 2008 Inferring Rankings Under Constrained Sensing Srikanth Jagabathula, Devavrat Shah

NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs Kyomin Jung, Devavrat Shah

NeurIPS 2007 Message Passing for Max-Weight Independent Set Sujay Sanghavi, Devavrat Shah, Alan S. Willsky