
On the computational and statistical complexity of overparameterized matrix sensing
We consider solving the low rank matrix sensing problem with Factorized ...
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Predicting What You Already Know Helps: Provable SelfSupervised Learning
Selfsupervised representation learning solves auxiliary prediction task...
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Robust Structured Statistical Estimation via Conditional Gradient Type Methods
Structured statistical estimation problems are often solved by Condition...
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Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Nonconvex Optimization
Largescale nonconvex sparsityconstrained problems have recently gaine...
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CommunicationEfficient Asynchronous Stochastic FrankWolfe over Nuclearnorm Balls
Largescale machine learning training suffers from two prior challenges,...
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PrimalDual Block FrankWolfe
We propose a variant of the FrankWolfe algorithm for solving a class of...
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Bottomup Object Detection by Grouping Extreme and Center Points
With the advent of deep learning, object detection drifted from a bottom...
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Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning
Recently, research on accelerated stochastic gradient descent methods (e...
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Jiacheng Zhuo
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