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Poster
Tue 15:30 Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Sebastian Ament · Carla Gomes
Oral
Tue 13:45 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding · Chen-Yu Wei · Kaiqing Zhang · Mihailo Jovanovic
Poster
Tue 15:30 On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Haochuan Li · Farzan Farnia · Subhro Das · Ali Jadbabaie
Poster
Wed 15:30 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik
Poster
Wed 15:30 Fast Composite Optimization and Statistical Recovery in Federated Learning
Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu
Spotlight
Tue 11:20 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Jixiang Qing · Tom Dhaene · Ivo Couckuyt
Oral
Thu 13:05 A Simple yet Universal Strategy for Online Convex Optimization
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Poster
Thu 15:00 Delay-Adaptive Step-sizes for Asynchronous Learning
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
Poster
Wed 15:30 The power of first-order smooth optimization for black-box non-smooth problems
Alexander Gasnikov · Anton Novitskii · Vasilii Novitskii · Farshed Abdukhakimov · Dmitry Kamzolov · Aleksandr Beznosikov · Martin Takac · Pavel Dvurechenskii · Bin Gu
Spotlight
Thu 12:40 Delay-Adaptive Step-sizes for Asynchronous Learning
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
Spotlight
Wed 14:50 The power of first-order smooth optimization for black-box non-smooth problems
Alexander Gasnikov · Anton Novitskii · Vasilii Novitskii · Farshed Abdukhakimov · Dmitry Kamzolov · Aleksandr Beznosikov · Martin Takac · Pavel Dvurechenskii · Bin Gu
Oral
Thu 13:00 Anarchic Federated Learning
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu