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Poster
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Tue 14:00
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Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
SIQI LIANG · Yan Sun · Faming Liang
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Workshop
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Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
Pan Zhou · Xingyu Xie · Shuicheng Yan
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Poster
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Tue 9:00
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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Poster
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[Re] AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Anirudh Buvanesh · Madhur Panwar
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Workshop
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Sat 9:30
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Niao He, Simple Fixes for Adaptive Gradient Methods for Nonconvex Min-Max Optimization
Niao He
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Workshop
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DIMENSION-REDUCED ADAPTIVE GRADIENT METHOD
Jingyang Li · Pan Zhou · Kuangyu Ding · Kim-Chuan Toh · Yinyu Ye
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Workshop
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Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami · Aidan Perreault · Jeffrey Law · David Biagioni · Peter St. John
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Poster
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Tue 14:00
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Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
Zhiyuan Li · Tianhao Wang · Dingli Yu
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Workshop
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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
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Poster
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Tue 14:00
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
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Poster
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Tue 9:00
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Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Antonio Orvieto · Simon Lacoste-Julien · Nicolas Loizou
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Poster
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Thu 14:00
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Benign Underfitting of Stochastic Gradient Descent
Tomer Koren · Roi Livni · Yishay Mansour · Uri Sherman
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