← Authors

Gilles Blanchard

23 papers · 2003–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (15) πŸƒ Academic Marathon (21) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion (2) πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (52) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

JMLR (9) NIPS (5) AISTATS (4) ALT (2) COLT (2) ICML (1)

Top co-authors

Clayton Scott (6) Gyemin Lee (3) El Mehdi Saad (3) Marius Kloft (3) Nicole KrΓ€mer (2) Julian Katz-Samuels (1) Motoaki Kawanabe (1) Krishnakumar Balasubramanian (1) Masashi Sugiyama (1) &Eacute (1)

Research topics

Statistics (1)

Keywords

kernel methods (6) learning theory (4) reproducing kernel hilbert space (4) novelty detection (3) convergence rate (3) label noise (3) semi-supervised learning (2) conjugate gradient (2) learning rate (2) early stopping (2) multiple kernel learning (2) transfer learning (2) excess risk bound (2) graph laplacian (1) spectral clustering (1) statistical consistency (1) manifold learning (1) binary classification (1) multi-task learning (1) dimensionality reduction (1)

Papers

Transductive conformal inference with adaptive scores AISTATS 2024
Covariance-adaptive best arm identification NIPS 2023
Constant regret for sequence prediction with limited advice ALT 2023
Topologically penalized regression on manifolds JMLR 2022
Fast rates for prediction with limited expert advice NIPS 2021
Domain Generalization by Marginal Transfer Learning JMLR 2021
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding AISTATS 2021
A minimax near-optimal algorithm for adaptive rejection sampling ALT 2019
Decontamination of Mutual Contamination Models JMLR 2019
Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018
Localized Complexities for Transductive Learning COLT 2014
Decontamination of Mutually Contaminated Models AISTATS 2014
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013
On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Semi-Supervised Novelty Detection JMLR 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Adaptive False Discovery Rate Control under Independence and Dependence JMLR 2009
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006
On the Rate of Convergence of Regularized Boosting Classifiers JMLR 2003