Shen-Yi Zhao

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 16

Top Topics

Sparse Learning

Linear Classification

Utility Maximization

Stochastic Gradient Descent

Top Venues

Sci. China Inf. Sci.

Publications

Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
On the convergence and improvement of stochastic normalized gradient descent. Sci. China Inf. Sci. 64 (3) (2021)
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. CoRR (2020)
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
Stagewise Enlargement of Batch Size for SGD-based Learning. CoRR (2020)
Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li
Global Momentum Compression for Sparse Communication in Distributed SGD. CoRR (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
On the Convergence of Memory-Based Distributed SGD. CoRR (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
ADASS: Adaptive Sample Selection for Training Acceleration. CoRR (2019)
Xiao Ma, Shen-Yi Zhao, Wu-Jun Li
Clustered Reinforcement Learning. CoRR (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Quantized Epoch-SGD for Communication-Efficient Distributed Learning. CoRR (2019)
Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR (2018)
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR (2018)
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Proximal SCOPE for Distributed Sparse Learning. NeurIPS (2018)
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
SCOPE: Scalable Composite Optimization for Learning on Spark. AAAI (2017)
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
Lock-Free Optimization for Non-Convex Problems. AAAI (2017)
Shen-Yi Zhao, Wu-Jun Li
Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. AAAI (2016)
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
Lock-Free Optimization for Non-Convex Problems. CoRR (2016)
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
SCOPE: Scalable Composite Optimization for Learning on Spark. CoRR (2016)
Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
Scalable Stochastic Alternating Direction Method of Multipliers. CoRR (2015)
Shen-Yi Zhao, Wu-Jun Li
Fast Asynchronous Parallel Stochastic Gradient Decent. CoRR (2015)