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Abhishek Sinha
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BanditQ -- No-Regret Learning with Guaranteed Per-User Rewards in Adversarial Environments


Apr 11, 2023
Abhishek Sinha

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No-regret Algorithms for Fair Resource Allocation


Mar 11, 2023
Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili

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Online Subset Selection using $α$-Core with no Augmented Regret


Sep 29, 2022
Sourav Sahoo, Samrat Mukhopadhyay, Abhishek Sinha

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Optimistic No-regret Algorithms for Discrete Caching


Aug 15, 2022
Naram Mhaisen, Abhishek Sinha, Georgios Paschos, Georgios Iosifidis

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Universal Caching


May 10, 2022
Ativ Joshi, Abhishek Sinha

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$k\texttt{-experts}$ -- Online Policies and Fundamental Limits


Oct 15, 2021
Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha

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D2C: Diffusion-Denoising Models for Few-shot Conditional Generation


Jun 12, 2021
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon

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Negative Data Augmentation


Feb 09, 2021
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

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* Accepted at ICLR 2021 
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Online Caching with Optimal Switching Regret


Jan 18, 2021
Samrat Mukhopadhyay, Abhishek Sinha

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* 11 pages, 3 figures, to be submitted to ISIT, 2021 
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