Alberto Caron - RankMe

19 papers A* 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning. AAAI Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis
2025	J	`jnl`	Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning. CoRR Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis
2025	J	`jnl`	Guidelines for Applying RL and MARL in Cybersecurity Applications. CoRR Vasilios Mavroudis, Gregory Palmer, Sara Farmer, Kez Smithson Whitehead, David Foster, Adam Price, Ian Miles, Alberto Caron, Stephen Pasteris
2025	J	`jnl`	On Efficient Bayesian Exploration in Model-Based Reinforcement Learning. CoRR Alberto Caron, Chris Hicks, Vasilios Mavroudis
2025	J	`jnl`	On Efficient Bayesian Exploration in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Alberto Caron, Vasilios Mavroudis, Chris Hicks
2025	J	`jnl`	Towards Causal Model-Based Policy Optimization. CoRR Alberto Caron, Vasilios Mavroudis, Chris Hicks
2024	J	`jnl`	A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective. CoRR Alberto Caron, Chris Hicks, Vasilios Mavroudis
2024	—	`conf`	Entity-based Reinforcement Learning for Autonomous Cyber Defence. AutonomousCyber@CCS Isaac Symes Thompson, Alberto Caron, Chris Hicks, Vasilios Mavroudis
2024	J	`jnl`	Entity-based Reinforcement Learning for Autonomous Cyber Defence. CoRR Isaac Symes Thompson, Alberto Caron, Chris Hicks, Vasilios Mavroudis
2024	—	`conf`	Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems. ACSAC Workshops Benjamin Kolicic, Alberto Caron, Vasilios Mavroudis, Chris Hicks
2024	J	`jnl`	Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems. CoRR Benjamin Kolicic, Alberto Caron, Chris Hicks, Vasilios Mavroudis
2023	A*	`conf`	Structure Learning with Adaptive Random Neighborhood Informed MCMC. NeurIPS Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin
2023	J	`jnl`	Structure Learning with Adaptive Random Neighborhood Informed MCMC. CoRR Alberto Caron, Xitong Liang, Samuel Livingstone, Jim E. Griffin
2022	J	`jnl`	Counterfactual Learning with Multioutput Deep Kernels. CoRR Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
2022	J	`jnl`	Counterfactual Learning with Multioutput Deep Kernels. Trans. Mach. Learn. Res. Alberto Caron, Ioanna Manolopoulou, Gianluca Baio
2022	J	`jnl`	Interpretable Deep Causal Learning for Moderation Effects. CoRR Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
2022	J	`jnl`	Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. J. Comput. Graph. Stat. Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
2021	J	`jnl`	Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. CoRR Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
2020	J	`jnl`	Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review. CoRR Alberto Caron, Ioanna Manolopoulou, Gianluca Baio