An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians

10 February 2021

Papers citing "An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians"

11 / 11 papers shown

Title
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise Yuchen Fang Javad Lavaei Katya Scheinberg 39 0 0 24 Mar 2025
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems Frank E. Curtis Vyacheslav Kungurtsev Daniel P. Robinson Qi Wang 24 10 0 28 Apr 2023
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming Sen Na Michael W. Mahoney 34 7 0 27 May 2022
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence Sen Na Michal Derezinski Michael W. Mahoney 27 16 0 20 Apr 2022
Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems Yuwei Luo Varun Gupta Mladen Kolar 35 9 0 06 Nov 2021
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming Sen Na M. Anitescu Mladen Kolar 34 33 0 23 Sep 2021
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians A. Berahas Frank E. Curtis Michael OÑeill Daniel P. Robinson 19 31 0 24 Jun 2021
Provable Gaussian Embedding with One Observation Ming Yu Zhuoran Yang T. Zhao Mladen Kolar Zhaoran Wang 13 6 0 25 Oct 2018
Distributed Stochastic Multi-Task Learning with Graph Regularization Weiran Wang Jialei Wang Mladen Kolar Nathan Srebro FedML 29 21 0 11 Feb 2018
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 88 60 0 31 Aug 2010
Time Varying Undirected Graphs Shuheng Zhou John D. Lafferty Larry A. Wasserman 116 245 0 20 Feb 2008