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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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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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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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Wed 18:30
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Hessian Aided Policy Gradient
Zebang Shen · Alejandro Ribeiro · Hamed Hassani · Hui Qian · Chao Mi
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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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Poster
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Wed 18:30
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Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen · Sujay Sanghavi
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Poster
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Tue 18:30
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A Composite Randomized Incremental Gradient Method
Junyu Zhang · Lin Xiao
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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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Oral
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Wed 11:35
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Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
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Poster
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Wed 18:30
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Bayesian Optimization of Composite Functions
Raul Astudillo · Peter I Frazier
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Poster
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Thu 18:30
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Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou · Feng Chen · Yiming Ying
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Poster
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Tue 18:30
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Homomorphic Sensing
Manolis Tsakiris · Liangzu Peng
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