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Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits


Sep 20, 2021
Guojun Xiong, Jian Li, Rahul Singh


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Inference of collective Gaussian hidden Markov models


Jul 24, 2021
Rahul Singh, Yongxin Chen


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Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy


Jul 06, 2021
Anish Agarwal, Rahul Singh

* 99 pages 

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A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees


May 31, 2021
Victor Chernozhukov, Whitney K. Newey, Rahul Singh

* 25 pages. arXiv admin note: text overlap with arXiv:2102.11076 

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Self-interpretable Convolutional Neural Networks for Text Classification


May 18, 2021
Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair


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Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace


Apr 20, 2021
Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker

* 18 pages, 2 figures, 18 tables 

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Debiased Kernel Methods


Feb 22, 2021
Rahul Singh

* 33 pages 

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Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers


Feb 11, 2021
Guojun Xiong, Gang Yan, Rahul Singh, Jian Li


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Learning Augmented Index Policy for Optimal Service Placement at the Network Edge


Jan 14, 2021
Guojun Xiong, Rahul Singh, Jian Li


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Adversarial Estimation of Riesz Representers


Dec 30, 2020
Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis


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


Dec 18, 2020
Rahul Singh

* 30 pages, 2 figures. arXiv admin note: text overlap with arXiv:2010.04855 

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Learning Hidden Markov Models from Aggregate Observations


Nov 23, 2020
Rahul Singh, Qinsheng Zhang, Yongxin Chen


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Reward Biased Maximum Likelihood Estimation for Reinforcement Learning


Nov 22, 2020
Akshay Mete, Rahul Singh, P. R. Kumar


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


Nov 08, 2020
Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang


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Filtering for Aggregate Hidden Markov Models with Continuous Observations


Nov 06, 2020
Qinsheng Zhang, Rahul Singh, Yongxin Chen

* 8 pages, 6 figures 

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Multi-Armed Bandits with Dependent Arms


Oct 23, 2020
Rahul Singh, Fang Liu, Yin Sun, Ness Shroff


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


Oct 13, 2020
Rahul Singh, Liyuan Xu, Arthur Gretton

* 66 pages, 6 figures 

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Model Robustness with Text Classification: Semantic-preserving adversarial attacks


Aug 14, 2020
Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto

* 12 Pages, 3 Figures, 10 Tables 

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Semantics-preserving adversarial attacks in NLP


Aug 12, 2020
Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto

* 12 Pages, 3 Figures, 10 Tables 

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A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19


Jul 25, 2020
Rahul Singh, Fang Liu, Ness B. Shroff


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Incremental inference of collective graphical models


Jun 26, 2020
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen


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Multi-marginal optimal transport and probabilistic graphical models


Jun 25, 2020
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

* 24 pages, 9 figures 

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Contextual Bandits with Side-Observations


Jun 06, 2020
Rahul Singh, Fang Liu, Xin Liu, Ness Shroff

* under review 

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Improving Robustness via Risk Averse Distributional Reinforcement Learning


May 01, 2020
Rahul Singh, Qinsheng Zhang, Yongxin Chen


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Inference with Aggregate Data: An Optimal Transport Approach


Mar 31, 2020
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

* 10 pages, 6 figures 

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Learning in Networked Control Systems


Mar 21, 2020
Rahul Singh, P. R. Kumar

* Submitted to CDC and LCSS (http://ieee-cssletters.dei.unipd.it/index.php

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