Kalogeratos, Argyris

9 publications

JMLR 2025 Collaborative Likelihood-Ratio Estimation over Graphs Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos

AISTATS 2025 Collaborative Non-Parametric Two-Sample Testing Alejandro David De Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

AISTATS 2025 Stein Boltzmann Sampling: A Variational Approach for Global Optimization Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

AISTATS 2024 Online Non-Parametric Likelihood-Ratio Estimation by Pearson-Divergence Functional Minimization Alejandro D. Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

AISTATS 2021 Offline Detection of Change-Points in the Mean for Stationary Graph Signals. Alejandro Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos

JMLR 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

ICML 2020 Learning the Piece-Wise Constant Graph Structure of a Varying Ising Model Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

AAAI 2017 Multivariate Hawkes Processes for Large-Scale Inference Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos

NeurIPS 2012 Dip-Means: An Incremental Clustering Method for Estimating the Number of Clusters Argyris Kalogeratos, Aristidis Likas