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Best-Effort Adaptation


May 10, 2023
Pranjal Awasthi, Corinna Cortes, Mehryar Mohri

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Congested Bandits: Optimal Routing via Short-term Resets


Jan 23, 2023
Pranjal Awasthi, Kush Bhatia, Sreenivas Gollapudi, Kostas Kollias

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* Published at ICML 2022 

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On the Adversarial Robustness of Mixture of Experts


Oct 19, 2022
Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli

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* Accepted to NeurIPS 2022 

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Agnostic Learning of General ReLU Activation Using Gradient Descent


Aug 04, 2022
Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan

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* 28 oages 

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Individual Preference Stability for Clustering


Jul 07, 2022
Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian

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* Accepted to ICML'22. This is a full version of the ICML version as well as a substantially improved version of arXiv:2006.04960 

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Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models


Jun 09, 2022
Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das

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$\mathscr{H}$-Consistency Estimation Error of Surrogate Loss Minimizers


May 16, 2022
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

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* ICML 2022 (long presentation) 

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Do More Negative Samples Necessarily Hurt in Contrastive Learning?


May 03, 2022
Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath

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* 16 pages 

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Distributionally Robust Data Join


Feb 11, 2022
Pranjal Awasthi, Christopher Jung, Jamie Morgenstern

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Agnostic Learnability of Halfspaces via Logistic Loss


Jan 31, 2022
Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp

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