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Oral
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Wed 15:10
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Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Xu · Qi Qi · Qihang Lin · rong jin · Tianbao Yang
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Oral
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Wed 14:30
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Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
Michael Metel · Akiko Takeda
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Poster
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Wed 18:30
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Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Xu · Qi Qi · Qihang Lin · rong jin · Tianbao Yang
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Poster
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Tue 18:30
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A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei · Harish Bhat
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Oral
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Thu 9:20
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Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Thanh Huy Nguyen · Umut Simsekli · Gaël RICHARD
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Poster
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Thu 18:30
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Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Thanh Huy Nguyen · Umut Simsekli · Gaël RICHARD
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Poster
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Wed 18:30
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Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
Michael Metel · Akiko Takeda
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Poster
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Tue 18:30
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Nonconvex Variance Reduced Optimization with Arbitrary Sampling
Samuel Horvath · Peter Richtarik
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Poster
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Thu 18:30
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A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
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Poster
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Thu 18:30
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Learning to select for a predefined ranking
Aleksei Ustimenko · Aleksandr Vorobev · Gleb Gusev · Pavel Serdyukov
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Oral
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Wed 14:25
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On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization
Hao Yu · rong jin
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Poster
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Thu 18:30
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Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
Vincent Roulet · Dmitriy Drusvyatskiy · Siddhartha Srinivasa · Zaid Harchaoui
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