- K. J. Dzahini, S. M. Wild. Stochastic Trust-Region Algorithm in Random Subspaces with Convergence and Expected Complexity Analyses. SIAM Journal on Optimization, 34(3):2671-2699, 2024.
- Kaizhao Sun, Mou Sun, Wotao Yin. Decomposition Methods for Global Solution of Mixed-Integer Linear Programs. SIAM Journal on Optimization, 34(2):1206-1235, 2024.
- E. Ruben van Beesten, Ward Romeijnders, David P. Morton. Pragmatic Distributionally Robust Optimization for Simple Integer Recourse Models. SIAM Journal on Optimization, 34(2):1755-1783, 2024.
- Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban. Robust Accelerated Primal-Dual Methods for Computing Saddle Points. SIAM Journal on Optimization, 34(1):1097-1130, March 2024.
- Benjamin Grimmer. Provably Faster Gradient Descent via Long Steps. SIAM Journal on Optimization, 34(3):2588-2608, 2024.
- Sihan Zeng, Thinh T. Doan 0001, Justin Romberg. A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM Journal on Optimization, 34(1):946-976, March 2024.
- Aris Daniilidis, Marc Quincampoix. Extending the Rademacher Theorem to Set-Valued Maps. SIAM Journal on Optimization, 34(2):1784-1798, 2024.
- Wenqing Ouyang, Yang Liu, Andre Milzarek. Descent Properties of an Anderson Accelerated Gradient Method with Restarting. SIAM Journal on Optimization, 34(1):336-365, March 2024.
- Johannes Milz, Michael Ulbrich. Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. SIAM Journal on Optimization, 34(1):844-869, March 2024.
- Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong. Generalized Power Cones: Optimal Error Bounds and Automorphisms. SIAM Journal on Optimization, 34(2):1316-1340, 2024.