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Workshop
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ProxSkip for Stochastic Variational Inequalities: A Federated Learning Algorithm for Provable Communication Acceleration
Siqi Zhang · Nicolas Loizou
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Workshop
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A Stochastic Conjugate Subgradient Algorithm for Kernelized Support Vector Machines: The Evidence
Di Zhang · Suvrajeet Sen
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Poster
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Thu 9:00
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Recruitment Strategies That Take a Chance
Gregory Kehne · Ariel Procaccia · Jingyan Wang
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Poster
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Tue 9:00
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Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun
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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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Tue 9:00
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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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 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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Wed 14:00
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Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt · Viktor Bengs · Björn Haddenhorst · Eyke Hüllermeier
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Workshop
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A Novel Stochastic Gradient Descent Algorithm for LearningPrincipal Subspaces
Charline Le Lan · Joshua Greaves · Jesse Farebrother · Mark Rowland · Fabian Pedregosa · Rishabh Agarwal · Marc Bellemare
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Poster
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Thu 14:00
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A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau
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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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