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On the Impossibility of Convergence of Mixed Strategies with No Regret Learning


Dec 03, 2020
Vidya Muthukumar, Soham Phade, Anant Sahai

* 44 pages, 12 figures 

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Online Model Selection for Reinforcement Learning with Function Approximation


Nov 19, 2020
Jonathan N. Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill


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On the proliferation of support vectors in high dimensions


Sep 22, 2020
Daniel Hsu, Vidya Muthukumar, Ji Xu


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Classification vs regression in overparameterized regimes: Does the loss function matter?


May 16, 2020
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai


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OSOM: A Simultaneously Optimal Algorithm for Multi-Armed and Linear Contextual Bandits


Jun 11, 2019
Niladri S. Chatterji, Vidya Muthukumar, Peter L. Bartlett

* Updated acknowledgements 

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Harmless interpolation of noisy data in regression


Mar 21, 2019
Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai

* 17 pages, presented at ITA in San Diego in Feb 2019 

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Understanding Unequal Gender Classification Accuracy from Face Images


Nov 30, 2018
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney


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Best of many worlds: Robust model selection for online supervised learning


May 22, 2018
Vidya Muthukumar, Mitas Ray, Anant Sahai, Peter L. Bartlett

* 33 pages, 5 figures 

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Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons


Jul 19, 2017
Ashwin Pananjady, Cheng Mao, Vidya Muthukumar, Martin J. Wainwright, Thomas A. Courtade


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