Reliability-based optimal structural design by the decoupling approach. - Johannes O. Royset; Armen Der Kiureghian; Elijah Polak (Reliab. Eng. Syst. Saf., 2001)

An algorithm for generalized semi-infinite min-max problems using exact penalties. - Elijah Polak; Johannes O. Royset (CDC, 2002)

Adaptive Approximations and Exact Penalization for the Solution of Generalized Semi-infinite Min-Max Problems. - Johannes O. Royset; Elijah Polak; Armen Der Kiureghian (SIAM J. Optim., 2003)

On the Use of Augmented Lagrangians in the Solution of Generalized Semi-Infinite Min-Max Problems. - Elijah Polak; Johannes O. Royset (Comput. Optim. Appl., 2005)

Solving the Bi-Objective Maximum-Flow Network-Interdiction Problem. - Johannes O. Royset; R. Kevin Wood (INFORMS J. Comput., 2007)

Lagrangian relaxation and enumeration for solving constrained shortest-path problems. - W. Matthew Carlyle; Johannes O. Royset; R. Kevin Wood (Networks, 2008)

Probabilistic search optimization and mission assignment for heterogeneous autonomous agents. - Timothy H. Chung; Moshe Kress; Johannes O. Royset (ICRA, 2009)

On buffered failure probability in design and optimization of structures. - R. Tyrrell Rockafellar; Johannes O. Royset (Reliab. Eng. Syst. Saf., 2010)

Optimal periodic patrolling trajectories of UUVs guarding a channel. - Hoam Chung; Elijah Polak; Johannes O. Royset; S. Shankar Sastry (ACC, 2011)

On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing. - E. Y. Pee; Johannes O. Royset (J. Optim. Theory Appl., 2011)

Consistent approximation of an optimal search problem. - Chris Phelps; Qi Gong; Johannes O. Royset; Isaac Kaminer (CDC, 2012)

The eye and the fist: Optimizing search and interdiction. - Moshe Kress; Johannes O. Royset; Nir Rozen (Eur. J. Oper. Res., 2012)

Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semiinfinite Minimax Problems. - Johannes O. Royset; E. Y. Pee (J. Optim. Theory Appl., 2012)

Optimality functions in stochastic programming. - Johannes O. Royset (Math. Program., 2012)

Sample average approximations in optimal control of uncertain systems. - Chris Phelps; Johannes O. Royset; Qi Gong (CDC, 2013)

Density estimation of simulation output using exponential epi-splines. - Dashi I. Singham; Johannes O. Royset; Roger J.-B. Wets (WSC, 2013)

On sample size control in sample average approximations for solving smooth stochastic programs. - Johannes O. Royset (Comput. Optim. Appl., 2013)

Optimal Budget Allocation for Sample Average Approximation. - Johannes O. Royset; Roberto Szechtman (Oper. Res., 2013)

Consistent approximation of a nonlinear optimal control problem with uncertain parameters. - Chris Phelps; Qi Gong; Johannes O. Royset; Claire Walton; Isaac Kaminer (Autom., 2014)

Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk. - R. Terry Rockafellar; Johannes O. Royset; S. I. Miranda (Eur. J. Oper. Res., 2014)

Random variables, monotone relations, and convex analysis. - R. Tyrrell Rockafellar; Johannes O. Royset (Math. Program., 2014)

Fusion of hard and soft information in nonparametric density estimation. - Johannes O. Royset; Roger J.-B. Wets (Eur. J. Oper. Res., 2015)

Measures of Residual Risk with Connections to Regression, Risk Tracking, Surrogate Models, and Ambiguity. - R. Tyrrell Rockafellar; Johannes O. Royset (SIAM J. Optim., 2015)

Search-Trajectory Optimization: Part I, Formulation and Theory. - Joseph Foraker; Johannes O. Royset; Isaac Kaminer (J. Optim. Theory Appl., 2016)

Search-Trajectory Optimization: Part II, Algorithms and Computations. - Joseph Foraker; Johannes O. Royset; Isaac Kaminer (J. Optim. Theory Appl., 2016)

Preface. - Johannes O. Royset (J. Optim. Theory Appl., 2016)

Optimality Functions and Lopsided Convergence. - Johannes O. Royset; Roger J.-B. Wets (J. Optim. Theory Appl., 2016)

Optimal Control of Uncertain Systems Using Sample Average Approximations. - Chris Phelps; Johannes O. Royset; Qi Gong (SIAM J. Control. Optim., 2016)

Variational Theory for Optimization under Stochastic Ambiguity. - Johannes O. Royset; Roger J.-B. Wets (SIAM J. Optim., 2017)

Superquantile/CVaR risk measures: second-order theory. - R. Tyrrell Rockafellar; Johannes O. Royset (Ann. Oper. Res., 2018)

Preventing environmental disasters from grounding accidents: A case study of tugboat positioning along the Norwegian coast. - Brice Assimizele; Johannes O. Royset; Robin T. Bye; Johan Oppen (J. Oper. Res. Soc., 2018)

Approximations and solution estimates in optimization. - Johannes O. Royset (Math. Program., 2018)

On univariate function identification problems. - Johannes O. Royset; Roger J.-B. Wets (Math. Program., 2018)

Modeling uncertainty of expert elicitation for use in risk-based optimization. - Michael D. Teter; Johannes O. Royset; Alexandra M. Newman (Ann. Oper. Res., 2019)

Lopsided convergence: an extension and its quantification. - Johannes O. Royset; Roger J.-B. Wets (Math. Program., 2019)

Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation. - Johannes O. Royset (Math. Program., 2020)

Stability and Error Analysis for Optimization and Generalized Equations. - Johannes O. Royset (SIAM J. Optim., 2020)

Certifiable Risk-Based Engineering Design Optimization. - Anirban Chaudhuri; Boris Kramer; Matthew Norton 001; Johannes O. Royset; Karen Willcox (CoRR, 2021)

Good and Bad Optimization Models: Insights from Rockafellians. - Johannes O. Royset (CoRR, 2021)

Gradients and subgradients of buffered failure probability. - Johannes O. Royset; Ji-Eun Byun (Oper. Res. Lett., 2021)

A novel solution approach with ML-based pseudo-cuts for the Flight and Maintenance Planning problem. - Franco Peschiera; Robert Dell; Johannes O. Royset; Alain Haït; Nicolas Dupin; Olga Battaïa (OR Spectr., 2021)

Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations. - Louis L. Chen; Johannes O. Royset (CoRR, 2022)

Optimizing Surveillance Satellites for the Synthetic Theater Operations Research Model. - Steven M. Warner; Johannes O. Royset (CoRR, 2022)

Risk-Adaptive Approaches to Learning and Decision Making: A Survey. - Johannes O. Royset (CoRR, 2022)

Towards Robust Learning using Diametrical Risk Minimization for Network Intrusion Detection. - Kelson J. McCollum; Nathaniel D. Bastian; Johannes O. Royset (DSC, 2023)

Multi-Agent Search for a Moving and Camouflaging Target. - Miguel A. Lejeune; Johannes O. Royset; Wenbo Ma (CoRR, 2023)

On Memorization and Privacy risks of Sharpness Aware Minimization. - Young In Kim; Pratiksha Agrawal; Johannes O. Royset; Rajiv Khanna (CoRR, 2023)

Diametrical Risk Minimization: theory and computations. - Matthew D. Norton; Johannes O. Royset (Mach. Learn., 2023)

Consistent approximations in composite optimization. - Johannes O. Royset (Math. Program., 2023)

On robustness in nonconvex optimization with application to defense planning. - Johannes O. Royset (Oper. Res. Lett., 2023)

S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method. - Ji-Eun Byun; Welington de Oliveira 001; Johannes O. Royset (Reliab. Eng. Syst. Saf., 2023)

Performance Bounds for PDE-Constrained Optimization under Uncertainty. - Peng Chen; Johannes O. Royset (SIAM J. Optim., 2023)

Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation. - Louis L. Chen; Bobbie Chern; Eric Eckstrand; Amogh Mahapatra; Johannes O. Royset (CoRR, 2024)

Stable Formulations in Optimistic Bilevel Optimization. - Johannes O. Royset (CoRR, 2024)

Risk-Adaptive Local Decision Rules. - Johannes O. Royset; Miguel A. Lejeune (Oper. Res., 2025)

Risk-Adaptive Approaches to Stochastic Optimization: A Survey. - Johannes O. Royset (SIAM Rev., 2025)

A Proximal-Type Method for Nonsmooth and Nonconvex Constrained Minimization Problems. - Gregorio M. Sempere; Welington de Oliveira 001; Johannes O. Royset (J. Optim. Theory Appl., 2025)