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Poster
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Mon 10:30
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Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
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Poster
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Tue 10:30
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A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh · Hyunouk Ko · Xiaoming Huo
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Poster
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Thu 18:30
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Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
Yiping Lu · Haoxuan Chen · Jianfeng Lu · Lexing Ying · Jose Blanchet
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Poster
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Thu 10:30
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Minimax Optimization with Smooth Algorithmic Adversaries
Tanner Fiez · Chi Jin · Praneeth Netrapalli · Lillian J Ratliff
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Spotlight
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Mon 10:30
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Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
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Poster
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Tue 10:30
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Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma · Lexing Ying
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Poster
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Tue 18:30
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X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang · Xinyang Chen · Jianmin Wang · Mingsheng Long
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Poster
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Wed 10:30
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Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng · Si Chen · Won Park · Zhuoqing Mao · Ming Jin · Ruoxi Jia
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Workshop
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Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang
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Workshop
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Fri 5:55
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Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang
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Poster
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Mon 2:30
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High Probability Generalization Bounds with Fast Rates for Minimax Problems
Shaojie Li · Yong Liu
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Poster
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Tue 10:30
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Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Sitan Chen · Jerry Li · Yuanzhi Li · Raghu Meka
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