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portfolio
publications
Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Conditions
Published in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
This paper considers stochastic first-order algorithms for minimax optimization under Polyak-Łojasiewicz conditions. We propose SPIDER-GDA for solving the finite-sum problem and an accelerated algorithm for the ill-conditioned case, which achieves a better stochastic first-oreder oracle complexity
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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