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Signed Graph Neural Networks: A Frequency Perspective


Aug 15, 2022
Rahul Singh, Yongxin Chen

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Quantifying Inherent Randomness in Machine Learning Algorithms


Jun 24, 2022
Soham Raste, Rahul Singh, Joel Vaughan, Vijayan N. Nair

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* 14 pages, 4 Figures, 5 tables 

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Understanding Metrics for Paraphrasing


May 26, 2022
Omkar Patil, Rahul Singh, Tarun Joshi

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* 19 pages, 7 figures, 12 Tables 

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Automatic Debiased Machine Learning for Dynamic Treatment Effects


Apr 09, 2022
Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis

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Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits


Feb 26, 2022
Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh

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Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems


Jan 25, 2022
Akshay Mete, Rahul Singh, P. R. Kumar

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Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions


Jan 13, 2022
Rahul Singh

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* 30 pages. arXiv admin note: substantial text overlap with arXiv:2111.05277; text overlap with arXiv:2010.04855 

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A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects


Dec 28, 2021
Rahul Singh

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* 55 pages 

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Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures


Nov 17, 2021
Archit Parnami, Rahul Singh, Tarun Joshi

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* 23 Pages, 18 figures, 3 tables 

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Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection


Nov 09, 2021
Rahul Singh

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* 75 pages 

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