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80 Results
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Poster
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Tue 9:00 |
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang · Peiwen Qiu · Jia Liu |
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Poster
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Tue 14:00 |
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi |
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Poster
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Tue 9:00 |
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan |
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Poster
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Wed 14:00 |
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová |
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Poster
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Wed 9:00 |
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Sham Kakade |
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Poster
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Wed 9:00 |
Revisit last-iterate convergence of mSGD under milder requirement on step size ruinan Jin · Xingkang He · Lang Chen · Difei Cheng · Vijay Gupta |
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Poster
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Wed 14:00 |
Stochastic Multiple Target Sampling Gradient Descent Hoang Phan · Ngoc Tran · Trung Le · Toan Tran · Nhat Ho · Dinh Phung |
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Poster
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Thu 9:00 |
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang |