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Poster
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Thu 11:00
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Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
Zhenghao Xu · Yuqing Wang · Tuo Zhao · Rachel Ward · Molei Tao
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Poster
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Fri 11:00
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Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu · Qi Qi · Zhaosong Lu · Tianbao Yang
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Poster
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Wed 16:30
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Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov · Niccolò Ajroldi · Antonio Orvieto · Aurelien Lucchi
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Poster
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Thu 16:30
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ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate
Shohei Taniguchi · Keno Harada · Gouki Minegishi · Yuta Oshima · Seong Cheol Jeong · Go Nagahara · Tomoshi Iiyama · Masahiro Suzuki · Yusuke Iwasawa · Yutaka Matsuo
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Poster
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Wed 16:30
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Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
Zih-Syuan Huang · Ching-pei Lee
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Poster
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Wed 11:00
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Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury · Nazarii Tupitsa · Nicolas Loizou · Samuel Horváth · Martin Takac · Eduard Gorbunov
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Poster
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Wed 16:30
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Adam with model exponential moving average is effective for nonconvex optimization
Kwangjun Ahn · Ashok Cutkosky
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Poster
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Fri 11:00
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High-probability complexity bounds for stochastic non-convex minimax optimization
Yassine Laguel · Yasa Syed · Necdet Serhat Aybat · Mert Gurbuzbalaban
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Poster
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Wed 11:00
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The Star Geometry of Critic-Based Regularizer Learning
Oscar Leong · Eliza O'Reilly · Yong Sheng Soh
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Poster
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Thu 11:00
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FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
Lisha Chen · A Saif · Yanning Shen · Tianyi Chen
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Poster
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Wed 16:30
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Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
Jiaojiao Zhang · Jiang Hu · Anthony Man-Cho So · Mikael Johansson
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Poster
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Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
Xixi Jia · Fangchen FENG · Deyu Meng · Defeng Sun
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