5 papers · 1 filter
Stochastic Gradient Methods with Online Scaling
Wanyu Zhang, Wenzhi Gao, Yinyu Ye +1
This paper introduces Stochastic Online Scaled Gradient Methods (SOSGM), a generalization of the recently developed adaptive preconditioning framework in arXiv:2505.23081 and arXiv…
Operator Splitting Methods with Online Scaling
Wanyu Zhang, Wenzhi Gao, Madeleine Udell
This paper develops a principled framework for automatically tuning preconditioners in operator splitting methods, including forward-backward splitting, Douglas-Rachford splitting,…
Enhanced PDHG for Linear Programming with Online Preconditioning
Haihao Lu, Wanyu Zhang
We present an online preconditioning technique for the primal-dual hybrid gradient (PDHG) algorithm for linear programming (LP). The method adaptively updates primal and dual preco…
Orientation Determination of Cryo-EM Images Using Block Stochastic Riemannian Subgradient Methods
Wanyu Zhang, Ruili Gou, Huikang Liu +2
The determination of molecular orientations is crucial for the three-dimensional reconstruction of Cryo-EM images. Traditionally addressed using the common-line method, this challe…
Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming
Yicheng Huang, Wanyu Zhang, Hongpei Li +3
Convex quadratic programming (QP) is an essential class of optimization problems with broad applications across various fields. Traditional QP solvers, typically based on simplex o…