Showing 1–20 of 20 results
/ Date/ Name
Feb 11, 2026Revisiting Superlinear Convergence of Proximal Newton-Like Methods to Degenerate SolutionsJun 23, 2024A four-operator splitting algorithm for nonconvex and nonsmooth optimizationMar 21, 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural NetworkOct 18, 2023Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement LearningNov 4, 2022Accelerated projected gradient algorithms for sparsity constrained optimization problemsApr 29, 2022Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decompositionFeb 21, 2022Global convergence and acceleration of projection methods for feasibility problems involving union convex setsDec 5, 2021Training Structured Neural Networks Through Manifold Identification and Variance ReductionDec 4, 2020Accelerating Inexact Successive Quadratic Approximation for Regularized Optimization Through Manifold IdentificationDec 12, 2019A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk MinimizationDec 20, 2018First-order algorithms converge faster than $O(1/k)$ on convex problemsJul 24, 2018Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized OptimizationMar 4, 2018A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth RegularizationMar 4, 2018Inexact Successive Quadratic Approximation for Regularized OptimizationOct 16, 2017Using Neural Networks to Detect Line Outages from PMU DataSep 10, 2017Distributed Block-diagonal Approximation Methods for Regularized Empirical Risk MinimizationJun 3, 2017Analyzing Random Permutations for Cyclic Coordinate DescentJul 28, 2016Random Permutations Fix a Worst Case for Cyclic Coordinate DescentJun 13, 2015On the Equivalence of CoCoA+ and DisDCAJun 8, 2015Distributed Training of Structured SVM