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Wed Jul 20 05:15 AM -- 05:20 AM (KST) @ Room 309
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
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Wed Jul 20 05:20 AM -- 05:25 AM (KST) @ Room 309
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
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Wed Jul 20 05:25 AM -- 05:30 AM (KST) @ Room 309
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
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Wed Jul 20 05:30 AM -- 05:35 AM (KST) @ Room 309
Understanding the unstable convergence of gradient descent
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Wed Jul 20 05:35 AM -- 05:40 AM (KST) @ Room 309
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
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Wed Jul 20 05:40 AM -- 05:45 AM (KST) @ Room 309
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
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Wed Jul 20 05:45 AM -- 06:05 AM (KST) @ Room 309
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
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Wed Jul 20 06:05 AM -- 06:10 AM (KST) @ Room 309
AdaGrad Avoids Saddle Points
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Wed Jul 20 06:10 AM -- 06:15 AM (KST) @ Room 309
Fast and Provable Nonconvex Tensor RPCA
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Wed Jul 20 06:15 AM -- 06:20 AM (KST) @ Room 309
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
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Wed Jul 20 06:20 AM -- 06:25 AM (KST) @ Room 309
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
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Wed Jul 20 06:25 AM -- 06:30 AM (KST) @ Room 309
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
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Wed Jul 20 06:30 AM -- 06:35 AM (KST) @ Room 309
Anticorrelated Noise Injection for Improved Generalization
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