Guillaume Obozinski
Guillaume Obozinski
Swiss Data Science Center
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Citat de
Citat de
Optimization with sparsity-inducing penalties
F Bach, R Jenatton, J Mairal, G Obozinski
Foundations and Trends in Machine Learning 4 (1), 1-106, 2012
Group lasso with overlap and graph lasso
L Jacob, G Obozinski, JP Vert
Proceedings of the 26th annual international conference on machine learning …, 2009
Joint covariate selection and joint subspace selection for multiple classification problems
G Obozinski, B Taskar, MI Jordan
Statistics and Computing 20 (2), 231-252, 2010
A latent factor model for highly multi-relational data
R Jenatton, N Le Roux, A Bordes, G Obozinski
Advances in Neural Information Processing Systems 25, 3176-3184, 2012
Proximal methods for sparse hierarchical dictionary learning.
R Jenatton, J Mairal, G Obozinski, FR Bach
ICML 1, 2, 2010
Multi-task feature selection
G Obozinski, B Taskar, M Jordan
Statistics Department, UC Berkeley, Tech. Rep 2 (2.2), 2, 2006
Support union recovery in high-dimensional multivariate regression
G Obozinski, MJ Wainwright, MI Jordan
Proximal methods for hierarchical sparse coding
R Jenatton, J Mairal, G Obozinski, F Bach
Journal of Machine Learning Research 12 (Jul), 2297-2334, 2010
Structured sparsity through convex optimization
F Bach, R Jenatton, J Mairal, G Obozinski
Statistical Science 27 (4), 450-468, 2012
Structured sparse principal component analysis
R Jenatton, G Obozinski, F Bach
International Conference on Artificial Intelligence and Statistics, 2010
Convex optimization with sparsity-inducing norms
F Bach, R Jenatton, J Mairal, G Obozinski
Optimization for Machine Learning, 2011
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence
L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...
Genome biology 9, 1-19, 2008
Canonical tensor decomposition for knowledge base completion
T Lacroix, N Usunier, G Obozinski
International Conference on Machine Learning, 2869-2878, 2018
Genomic privacy and limits of individual detection in a pool
S Sankararaman, G Obozinski, MI Jordan, E Halperin
Nature genetics 41 (9), 965-967, 2009
Trace Lasso: a trace norm regularization for correlated designs
E Grave, G Obozinski, F Bach
Advances in Neural Information Processing Systems 24, 2187-2195, 2011
Group lasso with overlaps: the latent group lasso approach
G Obozinski, L Jacob, JP Vert
arXiv preprint arXiv:1110.0413, 2011
Network flow algorithms for structured sparsity
J Mairal, R Jenatton, G Obozinski, F Bach
Advances in Neural Information Processing Systems 23, 1558-1566, 2010
On the equivalence between herding and conditional gradient algorithms
F Bach, S Lacoste-Julien, G Obozinski
Proceedings of the 29th International Conference on Machine Learning, 1359--1366, 2012
Learning and calibrating per-location classifiers for visual place recognition
P Gronat, G Obozinski, J Sivic, T Pajdla
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Multi-scale mining of fMRI data with hierarchical structured sparsity
R Jenatton, A Gramfort, V Michel, G Obozinski, F Bach, B Thirion
SIAM Journal on Imaging Sciences 5 (3), 835--856, 2012
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