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