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Books and Theses
- 2015
[b1]Alix Lheritier:
Nonparametric methods for learning and detecting multivariate statistical dissimilarity. (Méthodes non-paramétriques pour l'apprentissage et la détection de dissimilarité statistique multivariée). University of Nice Sophia Antipolis, France, 2015
Journal Articles
- 2018
- [j1]Alix Lheritier
, Frédéric Cazals:
A Sequential Non-Parametric Multivariate Two-Sample Test. IEEE Trans. Inf. Theory 64(5): 3361-3370 (2018)
Conference and Workshop Papers
- 2022
- [c5]Alix Lheritier, Nicolas Bondoux:
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning. AISTATS 2022: 5774-5789 - 2020
- [c4]Alix Lhéritier:
PCMC-Net: Feature-based Pairwise Choice Markov Chains. ICLR 2020 - 2019
- [c3]Alix Lhéritier, Frédéric Cazals:
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees. NeurIPS 2019: 14554-14563 - 2018
- [c2]Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost, Maria A. Zuluaga:
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry. RecTour@RecSys 2018: 28-32 - 2015
- [c1]Frédéric Cazals, Alix Lheritier:
Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces. DSAA 2015: 1-10
Informal and Other Publications
- 2021
- [i4]Alix Lhéritier, Nicolas Bondoux:
A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning. CoRR abs/2110.00535 (2021) - 2019
- [i3]Alix Lhéritier, Frédéric Cazals:
kd-switch: A Universal Online Predictor with an application to Sequential Two-Sample Testing. CoRR abs/1901.07662 (2019) - [i2]Alix Lhéritier:
PCMC-Net: Feature-based Pairwise Choice Markov Chains. CoRR abs/1909.11553 (2019) - 2018
- [i1]Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost:
Airline Passenger Name Record Generation using Generative Adversarial Networks. CoRR abs/1807.06657 (2018)
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