Yanli Liu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 11

Top Topics

Policy Gradient

Operator Splitting

Convex Optimization

Top Venues

J. Optim. Theory Appl.

IEEE Trans. Signal Process.

Publications

Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. CoRR (2022)
Yanli Liu, Yuejiao Sun, Wotao Yin
Decentralized Learning With Lazy and Approximate Dual Gradients. IEEE Trans. Signal Process. 69 (2021)
Yanli Liu, Yunbei Xu, Wotao Yin
Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures. J. Sci. Comput. 86 (2) (2021)
Yanli Liu, Yuan Gao, Wotao Yin
An Improved Analysis of Stochastic Gradient Descent with Momentum. NeurIPS (2020)
Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. NeurIPS (2020)
Ernest K. Ryu, Yanli Liu, Wotao Yin
Douglas-Rachford splitting and ADMM for pathological convex optimization. Comput. Optim. Appl. 74 (3) (2019)
Yanli Liu, Ernest K. Ryu, Wotao Yin
A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. Math. Program. 177 (1-2) (2019)
Yanli Liu, Wotao Yin
An Envelope for Davis-Yin Splitting and Strict Saddle-Point Avoidance. J. Optim. Theory Appl. 181 (2) (2019)
Yanli Liu, Fei Feng, Wotao Yin
Acceleration of SVRG and Katyusha X by Inexact Preconditioning. ICML (2019)
Robert Hannah, Yanli Liu, Daniel O'Connor, Wotao Yin
Breaking the Span Assumption Yields Fast Finite-Sum Minimization. NeurIPS (2018)
Yanli Liu, Ernest K. Ryu, Wotao Yin
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. CoRR (2017)