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Gradient Descent for Low-Rank Functions


Jun 16, 2022
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah

* 26 pages, 2 figures 

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Counterfactual inference for sequential experimental design


Feb 14, 2022
Raaz Dwivedi, Susan Murphy, Devavrat Shah


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Unifying Epidemic Models with Mixtures


Jan 07, 2022
Arnab Sarker, Ali Jadbabaie, Devavrat Shah


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Federated Optimization of Smooth Loss Functions


Jan 06, 2022
Ali Jadbabaie, Anuran Makur, Devavrat Shah

* 30 pages 

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CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols


Jan 05, 2022
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah


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Time varying regression with hidden linear dynamics


Dec 29, 2021
Ali Jadbabaie, Horia Mania, Devavrat Shah, Suvrit Sra

* 22 pages 

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A Computationally Efficient Method for Learning Exponential Family Distributions


Oct 28, 2021
Abhin Shah, Devavrat Shah, Gregory W. Wornell


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Causal Matrix Completion


Sep 30, 2021
Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen


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PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators


Mar 17, 2021
Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang


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Approximating the Log-Partition Function


Feb 19, 2021
Romain Cosson, Devavrat Shah


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