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Workshop
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Sat 13:02
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Sparse Bayesian Learning via Stepwise Regression
Sebastian Ament · Carla Gomes
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Workshop
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Sparse Bayesian Learning via Stepwise Regression
Sebastian Ament · Carla Gomes
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Spotlight
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Thu 20:40
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A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Xiaoyu Li · Zhenxun Zhuang · Francesco Orabona
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Poster
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Thu 21:00
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A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Xiaoyu Li · Zhenxun Zhuang · Francesco Orabona
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Poster
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Thu 9:00
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Phase Transitions, Distance Functions, and Implicit Neural Representations
Yaron Lipman
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Spotlight
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Thu 6:30
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Phase Transitions, Distance Functions, and Implicit Neural Representations
Yaron Lipman
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Spotlight
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Tue 5:30
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A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
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Poster
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Tue 9:00
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A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
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Spotlight
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Wed 5:45
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Learning from History for Byzantine Robust Optimization
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
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Poster
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Wed 9:00
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Learning from History for Byzantine Robust Optimization
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
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Poster
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Thu 9:00
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A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
Christian Kümmerle · Claudio Mayrink Verdun
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Workshop
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On Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis · Jay Roberts
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