Agarwal, Anish

11 publications

TMLR 2026 Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration Dung Daniel Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Steven Wu

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

NeurIPS 2024 Mutli-Armed Bandits with Network Interference Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse

NeurIPS 2023 Adaptive Principal Component Regression with Applications to Panel Data Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Z. Wu

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

ICMLW 2023 Strategyproof Decision-Making in Panel Data Settings and Beyond Keegan Harris, Anish Agarwal, Chara Podimata, Steven Wu

NeurIPS 2023 Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar

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

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

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