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132 Results
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Poster
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Thu 15:00 |
A Simple yet Universal Strategy for Online Convex Optimization Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang |
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Poster
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Thu 15:00 |
Anarchic Federated Learning Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu |
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Poster
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Wed 15:30 |
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon |
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Poster
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Tue 15:30 |
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty Jixiang Qing · Tom Dhaene · Ivo Couckuyt |
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Spotlight
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Tue 13:35 |
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms PRANAY SHARMA · Rohan Panda · Gauri Joshi · Pramod K Varshney |
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Poster
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Tue 15:30 |
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms PRANAY SHARMA · Rohan Panda · Gauri Joshi · Pramod K Varshney |
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Spotlight
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Tue 11:45 |
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament · Carla Gomes |
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Spotlight
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Wed 7:50 |
Fast Composite Optimization and Statistical Recovery in Federated Learning Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu |
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Spotlight
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Thu 11:35 |
Instance Dependent Regret Analysis of Kernelized Bandits Shubhanshu Shekhar · Tara Javidi |
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Poster
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Thu 15:00 |
Instance Dependent Regret Analysis of Kernelized Bandits Shubhanshu Shekhar · Tara Javidi |
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Spotlight
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Wed 8:40 |
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik |
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Spotlight
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Tue 14:15 |
On Convergence of Gradient Descent Ascent: A Tight Local Analysis Haochuan Li · Farzan Farnia · Subhro Das · Ali Jadbabaie |