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Oral
Tue 5:00 BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Spotlight
Tue 5:20 Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan · Peter Richtarik
Spotlight
Tue 5:20 Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Tue 5:30 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Spotlight
Tue 5:35 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Oral
Tue 7:00 Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
Spotlight
Tue 7:20 Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Spotlight
Tue 7:40 Multiplicative Noise and Heavy Tails in Stochastic Optimization
Liam Hodgkinson · Michael Mahoney
Poster
Tue 9:00 BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Poster
Tue 9:00 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue 9:00 Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
Poster
Tue 9:00 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar