17 citations · 26 across the 10 of their papers we have counts for
5 papers · 1 filter
Fraud Detection via Bayesian Positive-Unlabeled Learning with Gaussian Processes and Multilayer Networks
Konstantinos Bourazas, Angelos Alexopoulos, Petros Dellaportas +1
Tax fraud remains a central challenge for public revenue authorities worldwide, imposing fiscal losses estimated to reach up to 1 trillion euros annually in the EU alone. Fraudulen…
Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
Hayk Gevorgyan, Konstantinos Kalogeropoulos, Angelos Alexopoulos
We study the use of exchangeable multi-task Gaussian processes (GPs) for causal inference in panel data, applying the framework to two settings: one with a single treated unit subj…
On robust Bayesian causal inference
Angelos Alexopoulos, Nikolaos Demiris
This paper develops a Bayesian framework for robust causal inference from longitudinal observational data. Many contemporary methods rely on structural assumptions, such as factor…
Variance Reduction for Metropolis-Hastings Samplers
Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias
We introduce a general framework that constructs estimators with reduced variance for random walk Metropolis and Metropolis-adjusted Langevin algorithms. The resulting estimators r…
Bayesian Variable Selection for Gaussian copula regression models
Angelos Alexopoulos, Leonardo Bottolo
We develop a novel Bayesian method to select important predictors in regression models with multiple responses of diverse types. A sparse Gaussian copula regression model is used t…