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Shashank Rajput

Ph.D

University of Wisconsin-Madison

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Machine Learning, Distributed Optimization, Robust Learning, and High-Dimensional Statistics.

Papers6 papers

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Closing the convergence gap of SGD without replacement

Rajput Shashank,Gupta Anant,Papailiopoulos Dimitris

ICML, (2020): 7964-7973

Cited by2EIBibtex

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Pensia Ankit,Rajput Shashank, Nagle Alliot,Vishwakarma Harit, Papailiopoulos Dimitris

Bibtex

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Hongyi Wang,Kartik Sreenivasan,Shashank Rajput,Harit Vishwakarma,Saurabh Agarwal,Jy-yong Sohn,Kangwook Lee,Dimitris Papailiopoulos

NIPS 2020, (2020)

Cited by2EIBibtex

Convergence and Margin of Adversarial Training on Separable Data

Zachary B. Charles,Shashank Rajput,Stephen Wright,Dimitris S. Papailiopoulos

arXiv: Learning, (2019)

EIBibtex

Does Data Augmentation Lead to Positive Margin

Shashank Rajput,Zhili Feng,Zachary B. Charles,Po-Ling Loh,Dimitris S. Papailiopoulos

international conference on machine learning, (2019)

EIBibtex

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

Shashank Rajput,Hongyi Wang,Zachary Charles,Dimitris Papailiopoulos

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 10320-10330

Cited by10EIBibtex

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