|
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 |