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Poster
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Tue 14:00 |
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo |
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Poster
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Tue 14:00 |
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms Tengyu Xu · Yingbin Liang |
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Poster
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Tue 14:00 |
Alternating Direction Method of Multipliers for Quantization Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn |
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Poster
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Tue 14:00 |
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization Jelena Diakonikolas · Constantinos Daskalakis · Michael Jordan |
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Oral
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Tue 17:00 |
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo |
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Poster
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Tue 18:30 |
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization Congliang Chen · Jiawei Zhang · Li Shen · Peilin Zhao · Zhiquan Luo |
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Poster
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Tue 18:30 |
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems Yingjie Bi · Javad Lavaei |
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Poster
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Wed 6:00 |
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation Robert Gower · Othmane Sebbouh · Nicolas Loizou |
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Poster
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Wed 6:00 |
Direct-Search for a Class of Stochastic Min-Max Problems Sotiris Anagnostidis · Aurelien Lucchi · Youssef Diouane |
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Poster
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Wed 6:00 |
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence Nicolas Loizou · Sharan Vaswani · Issam Hadj Laradji · Simon Lacoste-Julien |
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Poster
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Wed 12:45 |
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour · Mohammad Mahdi Kamani · Aryan Mokhtari · Mehrdad Mahdavi |
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Poster
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Wed 12:45 |
A Fast and Robust Method for Global Topological Functional Optimization Elchanan Solomon · Alexander Wagner · Paul Bendich |