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Predicting What You Already Know Helps: Provable Self-Supervised Learning

Aug 03, 2020
Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo

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Robust Structured Statistical Estimation via Conditional Gradient Type Methods

Jul 07, 2020
Jiacheng Zhuo, Liu Liu, Constantine Caramanis

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Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization

Dec 02, 2019
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

* 7 pages, 3 figures, Appeared at the Data Science Meets Optimization Workshop (DSO) at IJCAI'19 

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Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls

Oct 17, 2019
Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis

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Primal-Dual Block Frank-Wolfe

Jun 06, 2019
Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

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Bottom-up Object Detection by Grouping Extreme and Center Points

Feb 03, 2019
Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl

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Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning

Apr 17, 2017
Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo

* Corrected a few typos in this version 

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