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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Wed 14:00
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Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate
Zhuoqing Song · Weijian Li · Kexin Jin · Lei Shi · Ming Yan · Wotao Yin · Kun Yuan
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Poster
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Thu 9:00
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Better SGD using Second-order Momentum
Hoang Tran · Ashok Cutkosky
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Poster
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Wed 9:00
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The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa
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Poster
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Tue 14:00
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BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi
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Poster
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Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu · Xinshao Wang · Jiulong Liu
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Poster
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Thu 9:00
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Domain Generalization without Excess Empirical Risk
Ozan Sener · Vladlen Koltun
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Poster
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Wed 14:00
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Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das · Bernhard Schölkopf · Michael Muehlebach
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Poster
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Thu 14:00
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Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
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Poster
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Thu 14:00
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Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
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Poster
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Wed 9:00
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A Damped Newton Method Achieves Global O(1k2) and Local Quadratic Convergence Rate
Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac
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