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Marc Sebban

12 papers · 2002–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓ πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸƒ Academic Marathon Β· Ultra
🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (58)

Venues

IJCAI (3) CVPR (2) ICML (2) AAAI (1) AISTATS (1) ICCV (1) JMLR (1) NeurIPS (1)

Top co-authors

RΓ©mi Emonet (9) Amaury Habrard (5) Tanguy Kerdoncuff (3) Guillaume Metzler (2) Valentina Zantedeschi (2) Massimiliano Pontil (1) Kevin Bascol (1) Tinne Tuytelaars (1) Damien Muselet (1) Nam LeTien (1)

Research topics

Machine Learning (12) Core Methods (8) Application Areas (6) Optimization & Theory (6) Mathematics & Optimization (5) Optimization (5) Learning Types Β· Machine Learning (3) Deep Learning (2) Artificial Intelligence (1) Architectures (1) Learning Paradigms (1) Learning Types Β· Deep Learning (1)

Keywords

domain adaptation (4) optimal transport (4) metric learning (3) wasserstein distance (3) transfer learning (2) subspace alignment (2) few-shot learning (1) semi-supervised learning (1) differential privacy (1) similarity learning (1) data reduction (1) weakly supervised learning (1) unsupervised domain adaptation (1) minimax optimization (1) multi-instance learning (1) multi-class classification (1) distribution matching (1) class imbalance (1) tensor decomposition (1) representation learning (1)

Papers

A Bregman Proximal Viewpoint on Neural Operators ICML 2025 Optimal Tensor Transport AAAI 2022 A Swiss Army Knife for Minimax Optimal Transport ICML 2020 Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 2020 Metric Learning in Optimal Transport for Domain Adaptation IJCAI 2020 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 From Cost-Sensitive Classification to Tight F-measure Bounds AISTATS 2019 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016 Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015 Unsupervised Visual Domain Adaptation Using Subspace Alignment ICCV 2013 Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002