Alberto Caron

According to our database, Alberto Caron authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning.

Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Causal Model-Based Policy Optimization.

Alberto Caron, Vasilios Mavroudis, Chris Hicks

CoRR, March, 2025

Guidelines for Applying RL and MARL in Cybersecurity Applications.

Vasilios Mavroudis, Gregory Palmer, Sara Farmer, Kez Smithson Whitehead, David Foster, Adam Price, Ian Miles, Alberto Caron, Stephen Pasteris

CoRR, March, 2025

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning.

Alberto Caron, Vasilios Mavroudis, Chris Hicks

Trans. Mach. Learn. Res., 2025

2024

A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective.

Alberto Caron, Chris Hicks, Vasilios Mavroudis

CoRR, 2024

Entity-based Reinforcement Learning for Autonomous Cyber Defence.

Isaac Symes Thompson, Alberto Caron, Chris Hicks, Vasilios Mavroudis

Proceedings of the Workshop on Autonomous Cybersecurity, 2024

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems.

Benjamin Kolicic, Alberto Caron, Vasilios Mavroudis, Chris Hicks

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

Structure Learning with Adaptive Random Neighborhood Informed MCMC.

Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation.

Alberto Caron, Gianluca Baio, Ioanna Manolopoulou

J. Comput. Graph. Stat., October, 2022

Counterfactual Learning with Multioutput Deep Kernels.

Alberto Caron, Ioanna Manolopoulou, Gianluca Baio

Trans. Mach. Learn. Res., 2022

Interpretable Deep Causal Learning for Moderation Effects.

Alberto Caron, Gianluca Baio, Ioanna Manolopoulou

CoRR, 2022

2021

Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation.

Alberto Caron, Gianluca Baio, Ioanna Manolopoulou

CoRR, 2021

2020

Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review.

Alberto Caron, Ioanna Manolopoulou, Gianluca Baio

CoRR, 2020