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Publication

Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, and Qi Wang, A stochastic-gradient-based interior-point algorithm for solving smooth bound-constrained optimization problems, SIAM Journal on Optimization, 35(2):1030–1059, 2025. doi: 10.1137/23M1569460
Frank E. Curtis, Xin Jiang, and Qi Wang, Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization, Journal of Optimization Theory and Applications, 204(2):28, 2025. ISSN 1573-2878. doi: 10.1007/s10957-024-02568-2
Frank E. Curtis and Qi Wang, Worst-case complexity of trace with inexact subproblem solutions for nonconvex smooth optimization, SIAM Journal on Optimization, 33(3):2191–2221, 2023. doi: 10.1137/22M1492428

Under Review

Frank E. Curtis, Xin Jiang, and Qi Wang. Single-Loop Deterministic and Stochastic Interior- Point Algorithms for Nonlinearly Constrained Optimization. arXiv:2408.16186, 2024
Qi Wang, Christian Piermarini, and Frank E. Curtis. Informed learning with a stochastic- gradient-based algorithm for training with hard constraints. Manuscript in Preparation