Anish Agarwal - RankMe

53 papers A* 8Misc 1Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GOPO: Policy Optimization using Ranked Rewards. CoRR Kyuseong Choi, Dwaipayan Saha, Woojeong Kim, Anish Agarwal, Raaz Dwivedi
2026	J	`jnl`	Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. Trans. Mach. Learn. Res. Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu
2026	J	`jnl`	Synthetic Interventions: Extending Synthetic Controls to Multiple Treatments. Oper. Res. Anish Agarwal, Devavrat Shah, Dennis Shen
2025	J	`jnl`	A Causal Inference Framework for Data Rich Environments. CoRR Alberto Abadie, Anish Agarwal, Devavrat Shah
2025	J	`jnl`	N CoRR Caleb Chin, Aashish Khubchandani, Harshvardhan Maskara, Kyuseong Choi, Jacob Feitelberg, Albert Gong, Manit Paul, Tathagata Sadhukhan, Anish Agarwal, Raaz Dwivedi
2025	J	`jnl`	On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls. J. Mach. Learn. Res. Anish Agarwal, Devavrat Shah, Dennis Shen
2025	J	`jnl`	TabImpute: Accurate and Fast Zero-Shot Missing-Data Imputation with a Pre-Trained Transformer. CoRR Jacob Feitelberg, Dwaipayan Saha, Kyuseong Choi, Zaid Ahmad, Anish Agarwal, Raaz Dwivedi
2024	J	`jnl`	Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space. CoRR Jacob Feitelberg, Kyuseong Choi, Anish Agarwal, Raaz Dwivedi
2024	J	`jnl`	Doubly Robust Inference in Causal Latent Factor Models. CoRR Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah
2024	J	`jnl`	Learning Counterfactual Distributions via Kernel Nearest Neighbors. CoRR Kyuseong Choi, Jacob Feitelberg, Anish Agarwal, Raaz Dwivedi
2024	J	`jnl`	Multi-Armed Bandits with Network Interference. CoRR Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
2024	A*	`conf`	Mutli-Armed Bandits with Network Interference. NeurIPS Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
2024	—	`conf`	Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2024	J	`jnl`	Towards data auctions with externalities. Games Econ. Behav. Anish Agarwal, Munther A. Dahleh, Thibaut Horel, Maryann Rui
2023	A*	`conf`	Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023	J	`jnl`	Adaptive Principal Component Regression with Applications to Panel Data. CoRR Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023	A*	`conf`	Causal Matrix Completion. COLT Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen
2023	Misc	`conf`	CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2023	J	`jnl`	Estimating the Value of Evidence-Based Decision Making. CoRR Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants
2023	J	`jnl`	Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. CoRR Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu
2023	A*	`conf`	Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. NeurIPS Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
2023	J	`jnl`	Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. CoRR Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
2022	—	`conf`	Causal Imputation via Synthetic Interventions. CLeaR Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
2022	—	`—`	Causal Inference for Social and Engineering Systems Anish Agarwal
2022	J	`jnl`	Causal Inference for Social and Engineering Systems. SIGMETRICS Perform. Evaluation Rev. Anish Agarwal
2022	J	`jnl`	CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2022	J	`jnl`	Network Synthetic Interventions: A Framework for Panel Data with Network Interference. CoRR Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu
2022	—	`conf`	On Multivariate Singular Spectrum Analysis and Its Variants. SIGMETRICS (Abstracts) Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2022	J	`jnl`	Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2022	J	`jnl`	Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime. CoRR Anish Agarwal, Vasilis Syrgkanis
2021	J	`jnl`	Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy. CoRR Anish Agarwal, Rahul Singh
2021	J	`jnl`	Causal Matrix Completion. CoRR Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen
2021	A*	`conf`	PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. NeurIPS Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2021	J	`jnl`	PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. CoRR Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2020	J	`jnl`	Augmented Q Imitation Learning (AQIL). CoRR Xiao-Lei Zhang, Anish Agarwal
2020	J	`jnl`	On Multivariate Singular Spectrum Analysis. CoRR Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2020	J	`jnl`	On Principal Component Regression in a High-Dimensional Error-in-Variables Setting. CoRR Anish Agarwal, Devavrat Shah, Dennis Shen
2020	J	`jnl`	On the Inefficiency of Forward Markets in Leader-Follower Competition. Oper. Res. Desmond W. H. Cai, Anish Agarwal, Adam Wierman
2020	—	`conf`	Single Image Super-Resolution using Residual Channel Attention Network. ICIIS Hritam Basak, Rohit Kundu, Anish Agarwal, Shreya Giri
2020	J	`jnl`	Synthetic Interventions. CoRR Anish Agarwal, Abdullah Omar Alomar, Romain Cosson, Devavrat Shah, Dennis Shen
2020	J	`jnl`	Towards Data Auctions with Externalities. CoRR Anish Agarwal, Munther A. Dahleh, Thibaut Horel, Maryann Rui
2020	J	`jnl`	Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? CoRR Anish Agarwal, Abdullah Omar Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang
2020	—	`conf`	tspDB: Time Series Predict DB. NeurIPS (Competition and Demos) Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2019	A*	`conf`	A Marketplace for Data: An Algorithmic Solution. EC Anish Agarwal, Munther A. Dahleh, Tuhin Sarkar
2019	J	`jnl`	Model Agnostic High-Dimensional Error-in-Variable Regression. CoRR Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song
2019	—	`conf`	Model Agnostic Time Series Analysis via Matrix Estimation. SIGMETRICS (Abstracts) Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2019	A*	`conf`	On Robustness of Principal Component Regression. NeurIPS Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song
2019	J	`jnl`	Zorro: A Model Agnostic System to Price Consumer Data. CoRR Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dylan Sleeper, Andrew Tsai, Madeline Wong
2018	J	`jnl`	A Marketplace for Data: An Algorithmic Solution. CoRR Anish Agarwal, Munther A. Dahleh, Tuhin Sarkar
2018	J	`jnl`	Model Agnostic Time Series Analysis via Matrix Estimation. Proc. ACM Meas. Anal. Comput. Syst. Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2018	J	`jnl`	Time Series Analysis via Matrix Estimation. CoRR Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2015	A*	`conf`	Online Convex Optimization Using Predictions. SIGMETRICS Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew
2015	J	`jnl`	Online Convex Optimization Using Predictions. CoRR Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew