Jie Liu

Publication Activity (10 Years)

Years Active: 2014-2018
Publications (10 Years): 7

Top Topics

Stochastic Gradient Descent

Importance Sampling

Top Venues

IEEE J. Sel. Top. Signal Process.

IEEE Trans. Smart Grid

Publications

Jie Liu, Yu Rong, Martin Takác, Junzhou Huang
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. CoRR (2018)
Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takác
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. CoRR (2017)
Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takác
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization. CoRR (2017)
Jie Liu, Alan C. Liddell Jr., Jakub Marecek, Martin Takác
Hybrid Methods in Solving Alternating-Current Optimal Power Flows. IEEE Trans. Smart Grid 8 (6) (2017)
Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takác
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. ICML (2017)
Jie Liu, Martin Takác
Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption. CoRR (2016)
Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. CoRR (2015)
Jakub Konecný, Jie Liu, Peter Richtárik, Martin Takác
mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. CoRR (2014)