Guillaume Obozinski

Publications

• New: 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,pp.3176-3184 2012. [pdf][project page with code + data]
• Convex Relaxation for Combinatorial Penalties G. Obozinski, F. Bach, Technical report, HAL 00694765, 2012. [pdf]
• On the equivalence between Herding and Conditional Gradient algorithms F. Bach, S. Lacoste-Julien, G. Obozinski, Technical report, HAL 00681128, 2012. [pdf]
• Trace Lasso: a trace norm regularization for correlated designs E. Grave, G. Obozinski, F. Bach, Advances in Neural Information Processing Systems (NIPS), 24 pp.2187-2195, 2011. [arXiv technical report]
• Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity R. Jenatton, A. Gramfort, V. Michel, G. Obozinski, E. Eger, F. Bach and B. Thirion, HAL - Technical report, accepted for publication in the SIAM Journal on Imaging Sciences , 2011.
• Group Lasso with Overlaps: the Latent group Lasso approach G. Obozinski*, L. Jacob*, J.P. Vert, Technical report, HAL - inria-00628498, 2011. *contributed equally
• Optimization with sparsity-inducing penalties. F. Bach, R. Jenatton, J. Mairal and G. Obozinski, Foundations and Trends in Machine Learning, 4(1):1-106, 2012. [pdf] [cropped pdf]
• Book chapter: Convex Optimization with Sparsity-Inducing Norms. F. Bach, R. Jenatton, J. Mairal and G. Obozinski. In S. Sra, S. Nowozin, S. J. Wright., editors, Optimization for Machine Learning, MIT Press, 2011.
• Convex and Network Flow Optimization for Structured Sparsity J. Mairal*, R. Jenatton*, G. Obozinski and F. Bach. JMLR 12(Jul):2681-2730, 2011 [pdf] *contributed equally
• Proximal Methods for Hierarchical Sparse Coding R. Jenatton, J. Mairal, G. Obozinski and F. Bach. JMLR 12(Jul):2297-2334, 2011 [pdf] Former version: arXiv:1009.2139 v1, 2010.
• Network Flow Algorithms for Structured Sparsity. J. Mairal, R. Jenatton, G. Obozinski, F. Bach, Adv. Neural Information Processing Systems (NIPS), 2010. [arxiv techreport]
• Proximal Methods for Sparse Hierarchical Dictionary Learning R. Jenatton, J. Mairal, G. Obozinski and F. Bach. Proceedings of the 27th International Conference on Machine Learning (ICML-10), p.487-494, 2010.[appendix] [bibtex]
• Support Union Recovery in High-Dimensional Multivariate Regression, G. Obozinski, M.J. Wainwright, M.I. Jordan, Annals of Statistics, 39 (1) p.1-17, 2011.
• Structured Sparse Principal Component Analysis, R. Jenatton, G. Obozinski, F. Bach. International Conference on Artificial Intelligence and Statistics (AISTATS), 2010 [pdf] [code] [bib]
• • Genomic privacy and limits of individual detection in a pool , S. Sankararaman *, G. Obozinski *, M.I. Jordan, E. Halperin, Nature Genetics 41 965-967, 2009. *Contributed equally.
  • Supplementary Material containing figures, methods, and empirical and theoretical analyses of the LR-tests proposed.
  • SecureGenome software
• Group Lasso with Overlap and Graph Lasso. L. Jacob, G. Obozinski, J.-P. Vert. Proceedings of the 26th Annual International Conference on Machine Learning (ICML), p. 433-440, 2009.
• Joint covariate selection and joint subspace selection for multiple classification problems , G. Obozinski, B.Taskar, M.I. Jordan, Statistics and Computing, 20(2): 231-252, 2010.
• High-dimensional union support recovery in multivariate regression, G. Obozinski, M.J. Wainwright, M.I. Jordan, Preproceedings of the 21st International Conference on Neural Information Processing Systems (NIPS), 2009. [appendix].
• Union support recovery in high-dimensional multivariate regression, G. Obozinski, M.J. Wainwright, M.I. Jordan, Berkeley Stat. Technical Report 761 , [ pdf], August 2008.
• Consistent probabilistic output for protein function prediction, G. Obozinski, C. Grant, G. Lanckriet, M.I. Jordan, W. S. Noble, Genome Biology 2008, 9 (Suppl 1):S6.
• A critical assessment of Mus musculus gene function prediction using integrated genomic evidence, Lourdes Peña-Castillo, Murat Tasan, Chad L Myers, Hyunju Lee, Trupti Joshi, Chao Zhang, Yuanfang Guan, Michele Leone, Andrea Pagnani, Wan Kyu Kim, Chase Krumpelman, Weidong Tian, Guillaume Obozinski, Yanjun Qi, Sara Mostafavi, Guan Ning Lin, Gabriel F Berriz, Francis D Gibbons, Gert Lanckriet, Jian Qiu, Charles Grant, Zafer Barutcuoglu, David P Hill, David Warde-Farley, Chris Grouios, Debajyoti Ray, Judith A Blake, Minghua Deng, Michael I Jordan, William S Noble, Quaid Morris, Judith Klein-Seetharaman, Ziv Bar-Joseph, Ting Chen, Fengzhu Sun, Olga G Troyanskaya, Edward M Marcotte, Dong Xu, Timothy R Hughes, Frederick P Roth, Genome Biology 2008, 9(Suppl 1):S2.
• Multi-task Feature Selection, G. Obozinski, B. Taskar, M. I. Jordan, UC Berkeley Technical Report [pdf], 2007.
• Work presented at the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburgh, PA, 2006.
• Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds , J. Lefèvre, G. Obozinski, S. Baillet, IPMI 2007: 470-481.