A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth
Bound-Constrained Optimization Problems

A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems

28 April 2023

Frank E. Curtis

Vyacheslav Kungurtsev

Daniel P. Robinson

Qi Wang

Papers citing "A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems"

5 / 5 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
L3Ms -- Lagrange Large Language Models Guneet S. Dhillon Xingjian Shi Yee Whye Teh Alex Smola 150 0 0 28 Oct 2024
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models Yuchen Fang Sen Na Michael W. Mahoney Mladen Kolar 35 1 0 24 Sep 2024
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization Frank E. Curtis Xin Jiang Qi Wang 25 2 0 29 Aug 2024
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations Congwen Lu J. Paulson 20 7 0 05 May 2023