Jean-Michel Loubes
8 papers · 2011–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(5)
Core Methods
(4)
Optimization
(4)
Optimization & Theory
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Mathematics
(2)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types · Machine Learning
(1)
Keywords
optimal transport
(4)
probability metrics
(1)
covariance matrix
(1)
algorithmic fairness
(1)
concept-based explanation
(1)
sentiment analysis
(1)
adversarial robustness
(1)
interpretable machine learning
(1)
explainable ai
(1)
covariance estimation
(1)
group lasso
(1)
high-dimensional statistics
(1)
fair classification
(1)
gaussian process
(1)
causal inference
(1)
probability distribution
(1)
sensitivity analysis
(1)
sparse pca
(1)
machine learning
(1)
wasserstein distance
(1)
Papers
On the Private Estimation of Smooth Transport Maps
ICML 2025
Transport-based Counterfactual Models
JMLR 2024
Are fairness metric scores enough to assess discrimination biases in machine learning?
ACL 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP
ACL 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport
AISTATS 2023
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
CVPR 2021
Obtaining Fairness using Optimal Transport Theory
ICML 2019
Group Lasso Estimation of High-dimensional Covariance Matrices
JMLR 2011