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Poster
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Tue 7:00 |
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? Chi Jin · Praneeth Netrapalli · Michael Jordan |
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Poster
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Tue 7:00 |
Self-Concordant Analysis of Frank-Wolfe Algorithms Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl |
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Poster
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Tue 7:00 |
Differentiating through the Fréchet Mean Aaron Lou · Isay Katsman · Qingxuan Jiang · Serge Belongie · Ser Nam Lim · Christopher De Sa |
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Poster
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Tue 7:00 |
Searching to Exploit Memorization Effect in Learning with Noisy Labels QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok |
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Poster
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Tue 7:00 |
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Runchao Ma · Qihang Lin · Tianbao Yang |
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Poster
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Tue 7:00 |
Stochastic Optimization for Non-convex Inf-Projection Problems Yan Yan · Yi Xu · Lijun Zhang · Wang Xiaoyu · Tianbao Yang |
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Poster
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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 |
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Poster
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Tue 7:00 |
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao |
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Poster
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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 |
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Poster
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Tue 7:00 |
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar |
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Poster
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Tue 7:00 |
Accelerated Stochastic Gradient-free and Projection-free Methods Feihu Huang · Lue Tao · Songcan Chen |
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Poster
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Tue 7:00 |
Provably Efficient Exploration in Policy Optimization Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang |