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Rahul Singh

Contextual Bandits with Side-Observations

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

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* under review

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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

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* 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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De-biased Machine Learning for Compliers

Sep 10, 2019
Rahul Singh, Liyang Sun

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* 21 pages, 2 figures

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Kernel Instrumental Variable Regression

Jun 01, 2019
Rahul Singh, Maneesh Sahani, Arthur Gretton

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* 31 pages, 8 figures

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3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys

Nov 23, 2018
Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar

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* Presenting in Machine Learning for Molecules and Materials NeurIPS 2018 Workshop

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