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ORCIDWilliam N. Caballero
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2020 – today
- 2025
[j14]William N. Caballero
, Matthew LaRosa, Alexander Fisher, Vahid Tarokh:
Indiscriminate disruption of conditional inference on multivariate Gaussians. Eur. J. Oper. Res. 327(1): 191-202 (2025)- [c2]Matthieu Carreau, Roi Naveiro, William N. Caballero:
Poisoning Bayesian Inference via Data Deletion and Replication. AISTATS 2025: 883-891 - [i5]Matthieu Carreau, Roi Naveiro, William N. Caballero:
Poisoning Bayesian Inference via Data Deletion and Replication. CoRR abs/2503.04480 (2025) - [i4]William N. Caballero, Phillip R. Jenkins, David Banks, Matthew J. Robbins:
Bayesian Graph Traversal. CoRR abs/2503.05963 (2025) - 2024
- [j13]William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro:
Manipulating hidden-Markov-model inferences by corrupting batch data. Comput. Oper. Res. 162: 106478 (2024) - [j12]Devin Wasilefsky, William N. Caballero, Chancellor Johnstone, Nathan B. Gaw, Phillip R. Jenkins:
Responsible machine learning for United States Air Force pilot candidate selection. Decis. Support Syst. 180: 114198 (2024) - [j11]William N. Caballero, Brian J. Lunday, Finn Meissner:
Regulating the rebound effect in the traveling purchaser problem. Eur. J. Oper. Res. 317(3): 660-677 (2024) - [c1]Roi Naveiro, David Ríos Insua, William N. Caballero:
Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic. ADT 2024: 128-143 - [i3]William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro:
Manipulating hidden-Markov-model inferences by corrupting batch data. CoRR abs/2402.13287 (2024) - [i2]William N. Caballero, Phillip R. Jenkins:
On Large Language Models in National Security Applications. CoRR abs/2407.03453 (2024) - [i1]William N. Caballero, Matthew LaRosa, Alexander Fisher, Vahid Tarokh:
Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians. CoRR abs/2411.14351 (2024) - 2023
- [j10]William N. Caballero, Ethan Gharst, David Banks, Jeffery D. Weir:
Multipolar Security Cooperation Planning: A Multiobjective, Adversarial-Risk-Analysis Approach. Decis. Anal. 20(1): 16-39 (2023) - [j9]William N. Caballero, Nathan B. Gaw, Phillip R. Jenkins, Chancellor Johnstone:
Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning. Expert Syst. Appl. 231: 120711 (2023) - [j8]William N. Caballero, David Ríos Insua, David Banks:
Decision support issues in automated driving systems. Int. Trans. Oper. Res. 30(3): 1216-1244 (2023) - 2022
- [j7]William N. Caballero, Roi Naveiro, David Ríos Insua:
Modeling Ethical and Operational Preferences in Automated Driving Systems. Decis. Anal. 19(1): 21-43 (2022) - [j6]David Ríos Insua, William N. Caballero, Roi Naveiro:
Managing Driving Modes in Automated Driving Systems. Transp. Sci. 56(5): 1259-1278 (2022) - [j5]William N. Caballero, Florian Jaehn, Brian J. Lunday:
Transportation Labor Cost Reduction via Vehicle Platooning: Alternative Models and Solution Methods. Transp. Sci. 56(6): 1549-1572 (2022) - 2021
- [j4]William N. Caballero, Phillip R. Jenkins, Andrew J. Keith:
Poisoning finite-horizon Markov decision processes at design time. Comput. Oper. Res. 129: 105185 (2021) - [j3]William N. Caballero, Brian J. Lunday, Richard P. Uber:
Identifying behaviorally robust strategies for normal form games under varying forms of uncertainty. Eur. J. Oper. Res. 288(3): 971-982 (2021) - 2020
- [j2]William N. Caballero, Brian J. Lunday:
Robust influence modeling under structural and parametric uncertainty: An Afghan counternarcotics use case. Decis. Support Syst. 128 (2020)
2010 – 2019
- 2019
- [j1]William N. Caballero, Brian J. Lunday:
Influence modeling: Mathematical programming representations of persuasion under either risk or uncertainty. Eur. J. Oper. Res. 278(1): 266-282 (2019)
Coauthor Index
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