Search Results - "Ye, Yinyu"

A gradient descent akin method for constrained optimization: algorithms and applications.

Authors: Chen, Long Bletzinger, Kai-Uwe Gauger, Nicolas R. et al.

Source: Optimization Methods & Software; Apr2026, Vol. 41 Issue 2, p358-385, 28p

Homogeneous second-order descent framework: a fast alternative to Newton-type methods.

Authors: He, Chang Jiang, Yuntian Zhang, Chuwen et al.

Source: Mathematical Programming; Jan2026, Vol. 215 Issue 1/2, p575-636, 62p

Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements.

Authors: Jalota, Devansh Ye, Yinyu

Source: Operations Research. Mar/Apr2025, Vol. 73 Issue 2, p798-818. 21p.

From an Interior Point to a Corner Point: Smart Crossover.

Authors: Ge, Dongdong Wang, Chengwenjian Xiong, Zikai et al.

Source: INFORMS Journal on Computing; Nov/Dec2025, Vol. 37 Issue 6, p1670-1688, 19p

An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization.

Authors: Deng, Qi Feng, Qing Gao, Wenzhi et al.

Source: INFORMS Journal on Computing; Mar/Apr2025, Vol. 37 Issue 2, p338-359, 22p

Optimal Diagonal Preconditioning.

Authors: Qu, Zhaonan Gao, Wenzhi Hinder, Oliver et al.

Source: Operations Research. May/Jun2025, Vol. 73 Issue 3, p1479-1495. 17p.

High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks.

Authors: Liu, Hongcheng Ye, Yinyu Lee, Hung Yi

Source: Operations Research. Nov/Dec2022, Vol. 70 Issue 6, p3176-3197. 22p. 1 Chart.

Scalable approximate optimal diagonal preconditioning.

Authors: Gao, Wenzhi Qu, Zhaonan Udell, Madeleine et al.

Source: Computational Optimization & Applications; Jun2026, Vol. 94 Issue 2, p439-473, 35p

A Homogeneous Second-Order Descent Method for Nonconvex Optimization.

Authors: Zhang, Chuwen He, Chang Jiang, Yuntian et al.

Source: Mathematics of Operations Research (INFORMS); May2026, Vol. 51 Issue 2, p1253-1283, 31p

Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses.

Authors: Jiang, Yuntian He, Chang Zhang, Chuwen et al.

Source: Journal of Scientific Computing; Jan2026, Vol. 106 Issue 1, p1-29, 29p

Risk Minimization as a Framework for Online Allocation in Display Advertising.

Authors: Shamsi, Davood Luenberger, Robert Ye, Yinyu

Source: Operations Research. Mar2026, p1. 6p.

Worst-Case Iteration Bounds for Log Barrier Methods on Problems with Nonconvex Constraints.

Authors: Hinder, Oliver Ye, Yinyu

Source: Mathematics of Operations Research (INFORMS). Nov2024, Vol. 49 Issue 4, p2402-2424. 23p.

Simple and fast algorithm for binary integer and online linear programming.

Authors: Li, Xiaocheng Sun, Chunlin Ye, Yinyu

Source: Mathematical Programming; Jul2023, Vol. 200 Issue 2, p831-875, 45p

Technical Note—An Improved Analysis of LP-Based Control for Revenue Management.

Authors: Chen, Guanting Li, Xiaocheng Ye, Yinyu

Source: Operations Research. May/Jun2024, Vol. 72 Issue 3, p1124-1138. 15p.

Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming.

Authors: Liu, Hongcheng Wang, Xue Yao, Tao et al.

Source: Mathematical Programming; Nov2019, Vol. 178 Issue 1/2, p69-108, 40p

An ADMM-based interior-point method for large-scale linear programming.

Authors: Lin, Tianyi Ma, Shiqian Ye, Yinyu et al.

Source: Optimization Methods & Software; Jun2021, Vol. 36 Issue 2/3, p389-424, 36p

On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.

Authors: Haeser, Gabriel Hinder, Oliver Ye, Yinyu

Source: Mathematical Programming; Mar2021, Vol. 186 Issue 1/2, p257-288, 32p

Worst-case complexity of cyclic coordinate descent: O(n2) gap with randomized version.

Authors: Sun, Ruoyu Ye, Yinyu

Source: Mathematical Programming; 2021, Vol. 185 Issue 1/2, p487-520, 34p

Towards solving 2-TBSG efficiently.

Authors: Jia, Zeyu Wen, Zaiwen Ye, Yinyu

Source: Optimization Methods & Software; Aug2020, Vol. 35 Issue 4, p706-721, 16p

Correction to: Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs.

Authors: Burer, Samuel Ye, Yinyu

Source: Mathematical Programming; Nov2021, Vol. 190 Issue 1/2, p845-848, 4p