Shen-Yi Zhao

According to our database, Shen-Yi Zhao authored at least 16 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

On the convergence and improvement of stochastic normalized gradient descent.

Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li

Sci. China Inf. Sci., 2021

2020

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training.

Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li

CoRR, 2020

Stagewise Enlargement of Batch Size for SGD-based Learning.

Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li

CoRR, 2020

2019

ADASS: Adaptive Sample Selection for Training Acceleration.

Shen-Yi Zhao, Hao Gao, Wu-Jun Li

CoRR, 2019

Clustered Reinforcement Learning.

Xiao Ma, Shen-Yi Zhao, Wu-Jun Li

CoRR, 2019

On the Convergence of Memory-Based Distributed SGD.

Shen-Yi Zhao, Hao Gao, Wu-Jun Li

CoRR, 2019

Global Momentum Compression for Sparse Communication in Distributed SGD.

Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li

CoRR, 2019

Quantized Epoch-SGD for Communication-Efficient Distributed Learning.

Shen-Yi Zhao, Hao Gao, Wu-Jun Li

CoRR, 2019

2018

Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate.

Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li

CoRR, 2018

Feature-Distributed SVRG for High-Dimensional Linear Classification.

Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li

CoRR, 2018

Proximal SCOPE for Distributed Sparse Learning.

Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Lock-Free Optimization for Non-Convex Problems.

Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

SCOPE: Scalable Composite Optimization for Learning on Spark.

Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee.

Shen-Yi Zhao, Wu-Jun Li

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Scalable Stochastic Alternating Direction Method of Multipliers.

Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou

CoRR, 2015

Fast Asynchronous Parallel Stochastic Gradient Decent.

Shen-Yi Zhao, Wu-Jun Li

CoRR, 2015