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ORCIDJohannes O. Royset
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2020 – today
- 2024
[i14]Louis L. Chen, Bobbie Chern, Eric Eckstrand, Amogh Mahapatra, Johannes O. Royset:
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation. CoRR abs/2405.20531 (2024)- [i13]Johannes O. Royset:
Stable Formulations in Optimistic Bilevel Optimization. CoRR abs/2408.13323 (2024) - 2023
- [j39]Matthew D. Norton, Johannes O. Royset:
Diametrical Risk Minimization: theory and computations. Mach. Learn. 112(8): 2933-2951 (2023) - [j38]Johannes O. Royset:
Consistent approximations in composite optimization. Math. Program. 201(1): 339-372 (2023) - [j37]Johannes O. Royset:
On robustness in nonconvex optimization with application to defense planning. Oper. Res. Lett. 51(1): 3-10 (2023) - [j36]Ji-Eun Byun
, Welington de Oliveira, Johannes O. Royset:
S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method. Reliab. Eng. Syst. Saf. 236: 109314 (2023) - [j35]Peng Chen, Johannes O. Royset:
Performance Bounds for PDE-Constrained Optimization under Uncertainty. SIAM J. Optim. 33(3): 1828-1854 (2023) - [c7]Kelson J. McCollum, Nathaniel D. Bastian, Johannes O. Royset:
Towards Robust Learning using Diametrical Risk Minimization for Network Intrusion Detection. DSC 2023: 1-8 - [i12]Miguel A. Lejeune, Johannes O. Royset, Wenbo Ma:
Multi-Agent Search for a Moving and Camouflaging Target. CoRR abs/2309.02629 (2023) - [i11]Young In Kim, Pratiksha Agrawal, Johannes O. Royset, Rajiv Khanna:
On Memorization and Privacy risks of Sharpness Aware Minimization. CoRR abs/2310.00488 (2023) - [i10]Johannes O. Royset, Miguel A. Lejeune:
Risk-Adaptive Local Decision Rules. CoRR abs/2310.09844 (2023) - 2022
- [i9]Johannes O. Royset:
Consistent Approximations in Composite Optimization. CoRR abs/2201.05250 (2022) - [i8]Louis L. Chen, Johannes O. Royset:
Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations. CoRR abs/2204.04762 (2022) - [i7]Johannes O. Royset:
On Robustness in Nonconvex Optimization with Application to Defense Planning. CoRR abs/2208.09725 (2022) - [i6]Steven M. Warner, Johannes O. Royset:
Optimizing Surveillance Satellites for the Synthetic Theater Operations Research Model. CoRR abs/2210.11370 (2022) - [i5]Johannes O. Royset:
Risk-Adaptive Approaches to Learning and Decision Making: A Survey. CoRR abs/2212.00856 (2022) - 2021
- [j34]Johannes O. Royset, Ji-Eun Byun:
Gradients and subgradients of buffered failure probability. Oper. Res. Lett. 49(6): 868-873 (2021) - [j33]Franco Peschiera, Robert Dell, Johannes O. Royset, Alain Haït, Nicolas Dupin, Olga Battaïa:
A novel solution approach with ML-based pseudo-cuts for the Flight and Maintenance Planning problem. OR Spectr. 43(3): 635-664 (2021) - [i4]Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox:
Certifiable Risk-Based Engineering Design Optimization. CoRR abs/2101.05129 (2021) - [i3]Johannes O. Royset:
Good and Bad Optimization Models: Insights from Rockafellians. CoRR abs/2105.06073 (2021) - [i2]Johannes O. Royset, Ji-Eun Byun:
Gradients and Subgradients of Buffered Failure Probability. CoRR abs/2109.05391 (2021) - 2020
- [j32]Johannes O. Royset:
Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation. Math. Program. 184(1): 289-318 (2020) - [j31]Johannes O. Royset:
Stability and Error Analysis for Optimization and Generalized Equations. SIAM J. Optim. 30(1): 752-780 (2020)
2010 – 2019
- 2019
- [j30]Michael D. Teter, Johannes O. Royset, Alexandra M. Newman:
Modeling uncertainty of expert elicitation for use in risk-based optimization. Ann. Oper. Res. 280(1-2): 189-210 (2019) - [j29]Johannes O. Royset:
Preface. Math. Program. 174(1-2): 1-3 (2019) - [j28]Johannes O. Royset, Roger J.-B. Wets:
Lopsided convergence: an extension and its quantification. Math. Program. 177(1-2): 395-423 (2019) - [i1]Matthew Norton, Johannes O. Royset:
Diametrical Risk Minimization: Theory and Computations. CoRR abs/1910.10844 (2019) - 2018
- [j27]R. Tyrrell Rockafellar, Johannes O. Royset:
Superquantile/CVaR risk measures: second-order theory. Ann. Oper. Res. 262(1): 3-28 (2018) - [j26]Brice Assimizele, Johannes O. Royset, Robin T. Bye, Johan Oppen:
Preventing environmental disasters from grounding accidents: A case study of tugboat positioning along the Norwegian coast. J. Oper. Res. Soc. 69(11): 1773-1792 (2018) - [j25]Johannes O. Royset, Roger J.-B. Wets:
On univariate function identification problems. Math. Program. 168(1-2): 449-474 (2018) - [j24]Johannes O. Royset:
Approximations and solution estimates in optimization. Math. Program. 170(2): 479-506 (2018) - 2017
- [j23]Johannes O. Royset, Roger J.-B. Wets:
Variational Theory for Optimization under Stochastic Ambiguity. SIAM J. Optim. 27(2): 1118-1149 (2017) - 2016
- [j22]Joseph Foraker, Johannes O. Royset, Isaac Kaminer:
Search-Trajectory Optimization: Part I, Formulation and Theory. J. Optim. Theory Appl. 169(2): 530-549 (2016) - [j21]Joseph Foraker, Johannes O. Royset, Isaac Kaminer:
Search-Trajectory Optimization: Part II, Algorithms and Computations. J. Optim. Theory Appl. 169(2): 550-567 (2016) - [j20]Johannes O. Royset:
Preface. J. Optim. Theory Appl. 169(3): 713-718 (2016) - [j19]Johannes O. Royset, Roger J.-B. Wets:
Optimality Functions and Lopsided Convergence. J. Optim. Theory Appl. 169(3): 965-983 (2016) - [j18]Chris Phelps, Johannes O. Royset, Qi Gong:
Optimal Control of Uncertain Systems Using Sample Average Approximations. SIAM J. Control. Optim. 54(1): 1-29 (2016) - 2015
- [j17]Johannes O. Royset, Roger J.-B. Wets:
Fusion of hard and soft information in nonparametric density estimation. Eur. J. Oper. Res. 247(2): 532-547 (2015) - [j16]R. Tyrrell Rockafellar, Johannes O. Royset:
Measures of Residual Risk with Connections to Regression, Risk Tracking, Surrogate Models, and Ambiguity. SIAM J. Optim. 25(2): 1179-1208 (2015) - 2014
- [j15]Chris Phelps, Qi Gong, Johannes O. Royset, Claire Walton, Isaac Kaminer:
Consistent approximation of a nonlinear optimal control problem with uncertain parameters. Autom. 50(12): 2987-2997 (2014) - [j14]R. Terry Rockafellar, Johannes O. Royset, S. I. Miranda:
Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk. Eur. J. Oper. Res. 234(1): 140-154 (2014) - [j13]R. Tyrrell Rockafellar, Johannes O. Royset:
Random variables, monotone relations, and convex analysis. Math. Program. 148(1-2): 297-331 (2014) - 2013
- [j12]Johannes O. Royset:
On sample size control in sample average approximations for solving smooth stochastic programs. Comput. Optim. Appl. 55(2): 265-309 (2013) - [j11]Johannes O. Royset, Roberto Szechtman:
Optimal Budget Allocation for Sample Average Approximation. Oper. Res. 61(3): 762-776 (2013) - [c6]Chris Phelps, Johannes O. Royset, Qi Gong:
Sample average approximations in optimal control of uncertain systems. CDC 2013: 1958-1965 - [c5]Dashi I. Singham, Johannes O. Royset, Roger J.-B. Wets:
Density estimation of simulation output using exponential epi-splines. WSC 2013: 755-765 - 2012
- [j10]Moshe Kress, Johannes O. Royset, Nir Rozen:
The eye and the fist: Optimizing search and interdiction. Eur. J. Oper. Res. 220(2): 550-558 (2012) - [j9]Johannes O. Royset, E. Y. Pee:
Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semiinfinite Minimax Problems. J. Optim. Theory Appl. 155(3): 855-882 (2012) - [j8]Johannes O. Royset:
Optimality functions in stochastic programming. Math. Program. 135(1-2): 293-321 (2012) - [c4]Chris Phelps, Qi Gong, Johannes O. Royset, Isaac Kaminer:
Consistent approximation of an optimal search problem. CDC 2012: 630-637 - 2011
- [j7]E. Y. Pee, Johannes O. Royset:
On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing. J. Optim. Theory Appl. 148(2): 390-421 (2011) - [c3]Hoam Chung, Elijah Polak, Johannes O. Royset, S. Shankar Sastry:
Optimal periodic patrolling trajectories of UUVs guarding a channel. ACC 2011: 888-893 - 2010
- [j6]R. Tyrrell Rockafellar, Johannes O. Royset:
On buffered failure probability in design and optimization of structures. Reliab. Eng. Syst. Saf. 95(5): 499-510 (2010)
2000 – 2009
- 2009
- [c2]Timothy H. Chung, Moshe Kress, Johannes O. Royset:
Probabilistic search optimization and mission assignment for heterogeneous autonomous agents. ICRA 2009: 939-945 - 2008
- [j5]W. Matthew Carlyle, Johannes O. Royset, R. Kevin Wood:
Lagrangian relaxation and enumeration for solving constrained shortest-path problems. Networks 52(4): 256-270 (2008) - 2007
- [j4]Johannes O. Royset, R. Kevin Wood:
Solving the Bi-Objective Maximum-Flow Network-Interdiction Problem. INFORMS J. Comput. 19(2): 175-184 (2007) - 2005
- [j3]Elijah Polak, Johannes O. Royset:
On the Use of Augmented Lagrangians in the Solution of Generalized Semi-Infinite Min-Max Problems. Comput. Optim. Appl. 31(2): 173-192 (2005) - 2003
- [j2]Johannes O. Royset, Elijah Polak, Armen Der Kiureghian:
Adaptive Approximations and Exact Penalization for the Solution of Generalized Semi-infinite Min-Max Problems. SIAM J. Optim. 14(1): 1-34 (2003) - 2002
- [c1]Elijah Polak, Johannes O. Royset:
An algorithm for generalized semi-infinite min-max problems using exact penalties. CDC 2002: 3545-3550 - 2001
- [j1]Johannes O. Royset, Armen Der Kiureghian, Elijah Polak:
Reliability-based optimal structural design by the decoupling approach. Reliab. Eng. Syst. Saf. 73(3): 213-221 (2001)
Coauthor Index
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