Michaël Perrot
10 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23)
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(8)
Application Areas
(5)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Applications
(1)
Keywords
optimal transport
(3)
metric learning
(3)
domain adaptation
(3)
transfer learning
(2)
group fairness
(2)
text classification
(1)
convex optimization
(1)
semidefinite programming
(1)
image translation
(1)
boosting algorithm
(1)
adversarial training
(1)
constrained optimization
(1)
tensor decomposition
(1)
algorithmic stability
(1)
hierarchical clustering
(1)
lipschitz continuity
(1)
closed-form solution
(1)
mahalanobis distance
(1)
supervised classification
(1)
image editing
(1)
Papers
Fair Text Classification via Transferable Representations
JMLR 2025
Differential Privacy has Bounded Impact on Fairness in Classification
ICML 2023
Optimal Tensor Transport
AAAI 2022
Near-Optimal Comparison Based Clustering
NeurIPS 2020
Too Relaxed to Be Fair
ICML 2020
Boosting for Comparison-Based Learning
IJCAI 2019
Foundations of Comparison-Based Hierarchical Clustering
NeurIPS 2019
Mapping Estimation for Discrete Optimal Transport
NeurIPS 2016
A Theoretical Analysis of Metric Hypothesis Transfer Learning
ICML 2015
Regressive Virtual Metric Learning
NeurIPS 2015