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Rahul Singh

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers

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Feb 11, 2021
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Learning Augmented Index Policy for Optimal Service Placement at the Network Edge

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Jan 14, 2021
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Adversarial Estimation of Riesz Representers

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Dec 30, 2020
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Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments

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Dec 18, 2020
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Learning Hidden Markov Models from Aggregate Observations

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Nov 23, 2020
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Reward Biased Maximum Likelihood Estimation for Reinforcement Learning

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Nov 22, 2020
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Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

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Nov 08, 2020
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Filtering for Aggregate Hidden Markov Models with Continuous Observations

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Nov 06, 2020
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Multi-Armed Bandits with Dependent Arms

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Oct 23, 2020
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Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning

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Oct 13, 2020
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