Roi Naveiro

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Direct Policy Search

Reinforcement Learning

Top Venues

Int. J. Approx. Reason.

Comput. Oper. Res.

Publications

William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro
Manipulating hidden-Markov-model inferences by corrupting batch data. Comput. Oper. Res. 162 (2024)
Roi Naveiro, Becky Tang
Simulation Based Bayesian Optimization. CoRR (2024)
William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro
Manipulating hidden-Markov-model inferences by corrupting batch data. CoRR (2024)
Tahir Ekin, Roi Naveiro, David Ríos Insua, Alberto Torres-Barrán
Augmented probability simulation methods for sequential games. Eur. J. Oper. Res. 306 (1) (2023)
William N. Caballero, Roi Naveiro, David Ríos Insua
Modeling Ethical and Operational Preferences in Automated Driving Systems. Decis. Anal. 19 (1) (2022)
David Ríos Insua, William N. Caballero, Roi Naveiro
Managing Driving Modes in Automated Driving Systems. Transp. Sci. 56 (5) (2022)
Tahir Ekin, Roi Naveiro, Jose Manuel Camacho Rodriguez
Adversarial Forecasting Through Adversarial Risk Analysis Within a DDDAS Framework. DDDAS (2022)
Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas
Data sharing games. CoRR (2021)
Roi Naveiro
Adversarial attacks against Bayesian forecasting dynamic models. CoRR (2021)
Samantha L. Jamson, Konstantinos Risvas, Roi Naveiro, David Ríos Insua, Konstantinos Moustakas, Mikolaj Kruszewski, Aleksandra Rodak, Alessandro Barisone
Towards Acceptance of Automated Driving Systems. CHIRA (2021)
David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. CoRR (2020)
David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua
Adversarial Risk Analysis (Overview). CoRR (2020)
Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
Protecting Classifiers From Attacks. A Bayesian Approach. CoRR (2020)
Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate
Opponent Aware Reinforcement Learning. CoRR (2019)
Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
Adversarial classification: An adversarial risk analysis approach. Int. J. Approx. Reason. 113 (2019)
Tahir Ekin, Roi Naveiro, Alberto Torres-Barrán, David Ríos Insua
Augmented Probability Simulation Methods for Non-cooperative Games. CoRR (2019)
Roi Naveiro, David Ríos Insua
Gradient Methods for Solving Stackelberg Games. ADT (2019)
Roi Naveiro, David Ríos Insua
Gradient Methods for Solving Stackelberg Games. CoRR (2019)
Víctor Gallego, Roi Naveiro, David Ríos Insua
Reinforcement Learning under Threats. AAAI (2019)
Víctor Gallego, Roi Naveiro, David Ríos Insua
Reinforcement Learning under Threats. CoRR (2018)