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Laurent Jacob

4 papers · 2008–2020 · 2 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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+3 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🧭 Keyword Pioneer πŸ“ˆ Trend Setter

Venues

NeurIPS (3) ICML (1)

Top co-authors

Dexiong Chen (2) Julien Mairal (2) Martin J. Wainwright (1) Miles Lopes (1) Francis R. Bach (1) Jean-philippe Vert (1)

Research topics

Machine Learning (4) Core Methods (4) Deep Learning (2) Mathematics & Optimization (2) Architectures (2) Optimization & Theory (2) Artificial Intelligence (1) Data Science & Analytics (1) Learning Paradigms (1) Learning Types (1) Mathematics (1) Methods (1) Optimization (1) Statistics (1)

Keywords

multi-task learning (1) convex optimization (1) graph classification (1) high-dimensional statistics (1) hypothesis testing (1) two-sample test (1) reproducing kernel hilbert space (1) supervised classification (1) task clustering (1) spectral norm (1) protein classification (1) hotelling t-squared (1) random projection (1) feature map (1) recurrent neural network (1) biological sequence (1) graph kernel (1) weight vector (1) clustered learning (1) mean-shift detection (1)

Papers

Convolutional Kernel Networks for Graph-Structured Data ICML 2020 Recurrent Kernel Networks NeurIPS 2019 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008