Michaël Perrot
10 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (10)
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Cross-Pollinator
(13)
🌈
Renaissance Researcher
(7)
🌉
Interdisciplinary Bridge
💎
Century Club
(10)
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Trend Setter
Conferences
NIPS (4)
ICML (3)
AAAI (1)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
domain adaptation
(3)
metric learning
(3)
optimal transport
(3)
transfer learning
(2)
group fairness
(2)
algorithmic stability
(1)
constrained optimization
(1)
text classification
(1)
adversarial training
(1)
image translation
(1)
hierarchical clustering
(1)
tensor decomposition
(1)
lipschitz continuity
(1)
semi-definite programming
(1)
supervised classification
(1)
image editing
(1)
boosting algorithm
(1)
ensemble method
(1)
convex optimization
(1)
differential privacy
(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
NIPS 2020
Too Relaxed to Be Fair
ICML 2020
Boosting for Comparison-Based Learning
IJCAI 2019
Foundations of Comparison-Based Hierarchical Clustering
NIPS 2019
Mapping Estimation for Discrete Optimal Transport
NIPS 2016
A Theoretical Analysis of Metric Hypothesis Transfer Learning
ICML 2015
Regressive Virtual Metric Learning
NIPS 2015