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Poster
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Tue 14:00
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End-to-end Stochastic Optimization with Energy-based Model
Lingkai Kong · Jiaming Cui · Yuchen Zhuang · Rui Feng · B. Aditya Prakash · Chao Zhang
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Poster
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Wed 9:00
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Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
Konstantin Mishchenko · Francis Bach · Mathieu Even · Blake Woodworth
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Poster
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Wed 9:00
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Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
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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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Poster
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Tue 9:00
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Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He
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Poster
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Wed 14:00
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On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
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Poster
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Thu 14:00
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Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
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Poster
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Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Lesi Chen · Boyuan Yao · Luo Luo
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Poster
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Thu 9:00
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Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
Idan Amir · Roi Livni · Nati Srebro
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Workshop
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Batch size selection by stochastic optimal contro
Jim Zhao · Aurelien Lucchi · Frank Proske · Antonio Orvieto · Hans Kersting
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Poster
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Tue 9:00
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Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Rayan Mazouz · Karan Muvvala · Akash Ratheesh Babu · Luca Laurenti · Morteza Lahijanian
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Poster
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Wed 9:00
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On the Theoretical Properties of Noise Correlation in Stochastic Optimization
Aurelien Lucchi · Frank Proske · Antonio Orvieto · Francis Bach · Hans Kersting
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