Zhe Li

Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization

Tianbao Yang, Qihang Lin, Zhe Li, 2016, 1604.03257.

D ec 2 01 6 Improved Dropout for Shallow and Deep Learning

Tianbao Yang, Boqing Gong, Zhe Li, 2018 .

A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer pdf

Tianbao Yang, Lijun Zhang, Zhe Li, 2017, AISTATS.

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization

Jinfeng Yi, Mingrui Liu, Tianbao Yang, 2018, NeurIPS.

A Robust Zero-Sum Game Framework for Pool-based Active Learning

Tianbao Yang, Xiaoyu Wang, Zhe Li, 2019, AISTATS.

A Unified Analysis of Stochastic Momentum Methods for Deep Learning pdf

Yi Yang, Tianbao Yang, Yan Yan, 2018, IJCAI.

Improved Dropout for Shallow and Deep Learning

Tianbao Yang, Boqing Gong, Zhe Li, 2016, NIPS.

EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch

Ning Xu, Tianbao Yang, David J. Foran, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SEP-Nets: Small and Effective Pattern Networks pdf

Tianbao Yang, Xiaoyu Wang, Zhe Li, 2017, ArXiv.

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis

Rong Jin, Tianbao Yang, Lijun Zhang, 2017, AAAI.