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Tue 7:00 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
Sijia Liu · Songtao Lu · Xiangyi Chen · Yao Feng · Kaidi Xu · Abdullah Al-Dujaili · Mingyi Hong · Una-May O'Reilly
Tue 7:00 Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
Runchao Ma · Qihang Lin · Tianbao Yang
Tue 7:00 Accelerated Stochastic Gradient-free and Projection-free Methods
Feihu Huang · Lue Tao · Songcan Chen
Tue 7:00 Provably Efficient Exploration in Policy Optimization
Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang
Tue 7:00 Stochastic Optimization for Non-convex Inf-Projection Problems
Yan Yan · Yi Xu · Lijun Zhang · Wang Xiaoyu · Tianbao Yang
Tue 7:00 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai · H. Vincent Poor · Yuxin Chen
Tue 7:00 Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng · Hangfeng He · Jiaoyang Huang · Weijie Su
Tue 7:00 Searching to Exploit Memorization Effect in Learning with Noisy Labels
QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok
Tue 7:00 Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar
Tue 7:00 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin · Praneeth Netrapalli · Michael Jordan
Tue 7:00 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
shuai zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Tue 8:00 Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu