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Poster
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Tue 21:00
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The Power of Adaptivity for Stochastic Submodular Cover
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
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Workshop
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Sat 15:45
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Stochastic Variance-Reduced High-order Optimization for Nonconvex Optimization
Quanquan Gu
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Workshop
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Non-Euclidean Differentially Private Stochastic Convex Optimization
Raef Bassily · Cristobal Guzman · Anupama Nandi
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Poster
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Tue 21:00
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Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
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Spotlight
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Tue 18:35
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Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
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Poster
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Tue 21:00
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On Estimation in Latent Variable Models
Guanhua Fang · Ping Li
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Workshop
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Shuffle Private Stochastic Convex Optimization
Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng
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Spotlight
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Tue 18:30
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On Estimation in Latent Variable Models
Guanhua Fang · Ping Li
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Poster
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Tue 9:00
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Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
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Spotlight
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Tue 5:35
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Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
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Poster
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Tue 9:00
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Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
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Oral
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Tue 7:00
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Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
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