A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. - Yanli Liu 003; Ernest K. Ryu; Wotao Yin (CoRR, 2017)

Breaking the Span Assumption Yields Fast Finite-Sum Minimization. - Robert Hannah; Yanli Liu 003; Daniel O'Connor; Wotao Yin (NeurIPS, 2018)

Acceleration of SVRG and Katyusha X by Inexact Preconditioning. - Yanli Liu 003; Fei Feng; Wotao Yin (ICML, 2019)

Douglas-Rachford splitting and ADMM for pathological convex optimization. - Ernest K. Ryu; Yanli Liu 003; Wotao Yin (Comput. Optim. Appl., 2019)

An Envelope for Davis-Yin Splitting and Strict Saddle-Point Avoidance. - Yanli Liu 003; Wotao Yin (J. Optim. Theory Appl., 2019)

A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. - Yanli Liu 003; Ernest K. Ryu; Wotao Yin (Math. Program., 2019)

An Improved Analysis of Stochastic Gradient Descent with Momentum. - Yanli Liu 003; Yuan Gao; Wotao Yin (NeurIPS, 2020)

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. - Yanli Liu 003; Kaiqing Zhang; Tamer Basar; Wotao Yin (NeurIPS, 2020)

Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures. - Yanli Liu 003; Yunbei Xu; Wotao Yin (J. Sci. Comput., 2021)

Decentralized Learning With Lazy and Approximate Dual Gradients. - Yanli Liu 003; Yuejiao Sun; Wotao Yin (IEEE Trans. Signal Process., 2021)