Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces. - Frédéric Cazals; Alix Lheritier (DSAA, 2015)

Nonparametric methods for learning and detecting multivariate statistical dissimilarity. (Méthodes non-paramétriques pour l'apprentissage et la détection de dissimilarité statistique multivariée). - Alix Lheritier (2015)

Understanding Customer Choices to Improve Recommendations in the Air Travel Industry. - Alejandro Mottini; Alix Lheritier; Rodrigo Acuna-Agost; Maria A. Zuluaga (RecTour@RecSys, 2018)

Airline Passenger Name Record Generation using Generative Adversarial Networks. - Alejandro Mottini; Alix Lheritier; Rodrigo Acuna-Agost (CoRR, 2018)

A Sequential Non-Parametric Multivariate Two-Sample Test. - Alix Lheritier; Frédéric Cazals (IEEE Trans. Inf. Theory, 2018)

Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees. - Alix Lhéritier; Frédéric Cazals (NeurIPS, 2019)

kd-switch: A Universal Online Predictor with an application to Sequential Two-Sample Testing. - Alix Lhéritier; Frédéric Cazals (CoRR, 2019)

PCMC-Net: Feature-based Pairwise Choice Markov Chains. - Alix Lhéritier (ICLR, 2020)

A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning. - Alix Lhéritier; Nicolas Bondoux (CoRR, 2021)

A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning. - Alix Lheritier; Nicolas Bondoux (AISTATS, 2022)

Unconditionally Calibrated Priors for Beta Mixture Density Networks. - Alix Lhéritier; Maurizio Filippone (AISTATS, 2025)

Variational Inference for Quantum HyperNetworks. - Luca Nepote; Alix Lhéritier; Nicolas Bondoux; Marios Kountouris; Maurizio Filippone (CoRR, 2025)