Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming. - Natashia Boland; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Jeff T. Linderoth; James R. Luedtke; Fabricio Oliveira (SIAM J. Optim., 2018)

A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems. - Natashia Boland; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Fabricio Oliveira (Math. Program., 2019)

Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems. - Fabricio Oliveira; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard (Int. Trans. Oper. Res., 2020)

Revisiting where are the hard knapsack problems? via Instance Space Analysis. - Kate Smith-Miles; Jeffrey Christiansen; Mario Andrés Muñoz (Comput. Oper. Res., 2021)

A study of progressive hedging for stochastic integer programming. - Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Fabricio Oliveira (Comput. Optim. Appl., 2023)

A robust optimization approach for a two-player force-design game. - Jeffrey Christiansen; Andreas T. Ernst; Janosch Rieger (Eur. J. Oper. Res., 2024)