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Alberto Caron

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

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Nov 14, 2024
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Entity-based Reinforcement Learning for Autonomous Cyber Defence

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Oct 23, 2024
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A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective

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May 08, 2024
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Structure Learning with Adaptive Random Neighborhood Informed MCMC

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Nov 01, 2023
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Counterfactual Learning with Multioutput Deep Kernels

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Nov 20, 2022
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Interpretable Deep Causal Learning for Moderation Effects

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Jul 07, 2022
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Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation

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Feb 12, 2021
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Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review

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Sep 14, 2020
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