Yanli Liu

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2022 J jnl
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods.
CoRR
Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2021 J jnl
Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures.
J. Sci. Comput.
Yanli Liu, Yunbei Xu, Wotao Yin
2021 J jnl
Decentralized Learning With Lazy and Approximate Dual Gradients.
IEEE Trans. Signal Process.
Yanli Liu, Yuejiao Sun, Wotao Yin
2020 A* conf
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods.
NeurIPS
Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2020 A* conf
An Improved Analysis of Stochastic Gradient Descent with Momentum.
NeurIPS
Yanli Liu, Yuan Gao, Wotao Yin
2019 J jnl
A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs.
Math. Program.
Yanli Liu, Ernest K. Ryu, Wotao Yin
2019 A* conf
Acceleration of SVRG and Katyusha X by Inexact Preconditioning.
ICML
Yanli Liu, Fei Feng, Wotao Yin
2019 J jnl
An Envelope for Davis-Yin Splitting and Strict Saddle-Point Avoidance.
J. Optim. Theory Appl.
Yanli Liu, Wotao Yin
2019 J jnl
Douglas-Rachford splitting and ADMM for pathological convex optimization.
Comput. Optim. Appl.
Ernest K. Ryu, Yanli Liu, Wotao Yin
2018 A* conf
Breaking the Span Assumption Yields Fast Finite-Sum Minimization.
NeurIPS
Robert Hannah, Yanli Liu, Daniel O'Connor, Wotao Yin
2017 J jnl
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs.
CoRR
Yanli Liu, Ernest K. Ryu, Wotao Yin