Publications of the year

Articles in International Peer-Reviewed Journals

  • 1F. Bach, R. Jenatton, J. Mairal, G. Obozinski.

    Structured sparsity through convex optimization, in: Statistical Science, 2012, vol. 27, no 4, p. 450-468.

  • 2M. P. Friedlander, M. Schmidt.

    Hybrid Deterministic-Stochastic Methods for Data Fitting, in: SIAM Journal on Scientific Computing, 2012, vol. 34, no 3, p. A1380-A1405, 22 pages. [ DOI : 10.1137/110830629 ]

  • 3R. Jenatton, A. Gramfort, V. Michel, G. Obozinski, E. Eger, F. Bach, B. Thirion.

    Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity, in: SIAM Journal on Imaging Sciences, July 2012, vol. 5, no 3, p. 835-856. [ DOI : 10.1137/110832380 ]

  • 4M. Solnon, S. Arlot, F. Bach.

    Multi-task Regression using Minimal Penalties, in: Journal of Machine Learning Research, September 2012, vol. 13, p. 2773-2812.


International Conferences with Proceedings

  • 5F. Bach, S. Lacoste-Julien, G. Obozinski.

    On the Equivalence between Herding and Conditional Gradient Algorithms, in: ICML 2012 International Conference on Machine Learning, Edimburgh, United Kingdom, 2012.

  • 6D. Buchman, M. Schmidt, S. Mohamed, D. Poole, N. De Freitas.

    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models, in: AISTATS 2012 - 15th International Conference on Artificial Intelligence and Statistics, La Palma, Spain, 2012.

  • 7R. Jenatton, N. Le Roux, A. Bordes, G. Obozinski.

    A latent factor model for highly multi-relational data, in: Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, États-Unis, 2012.

  • 8A. Joulin, F. Bach.

    A convex relaxation for weakly supervised classifiers, in: ICML 2012 International Conference on Machine Learning, Edinburgh, United Kingdom, June 2012, 641 p.

  • 9A. Joulin, F. Bach, J. Ponce.

    Multi-Class Cosegmentation, in: CVPR 2012 : 25th IEEE Conference on Computer Vision and Pattern Recognition, Providence, United States, June 2012, 0109 p.

  • 10A. Lefèvre, F. Bach, C. Févotte.

    Semi-supervised NMF with time-frequency annotations for single-channel source separation, in: ISMIR 2012 : 13th International Society for Music Information Retrieval Conference, Porto, Portugal, October 2012.

  • 11F. Pedregosa, A. Gramfort, G. Varoquaux, E. Cauvet, C. Pallier, B. Thirion.

    Learning to rank from medical imaging data, in: MLMI 2012 - 3rd International Workshop on Machine Learning in Medical Imaging, Nice, France, Inria, July 2012.

  • 12F. Pedregosa, A. Gramfort, G. Varoquaux, B. Thirion, C. Pallier, E. Cauvet.

    Improved brain pattern recovery through ranking approaches, in: PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, London, United Kingdom, July 2012.


Internal Reports

Other Publications

  • 16S. Arlot, A. Celisse, Z. Harchaoui.

    Kernel change-point detection, 2012.

  • 17F. Bach.

    Sharp analysis of low-rank kernel matrix approximations, 2012.

  • 18T. D. Hocking, G. Schleiermacher, I. Janoueix-Lerosey, O. Delattre, F. Bach, J.-P. Vert.

    Learning smoothing models of copy number profiles using breakpoint annotations, 2012.

  • 19S. Lacoste-Julien, M. Jaggi, M. Schmidt, P. Pletscher.

    Stochastic Block-Coordinate Frank-Wolfe Optimization for Structural SVMs, 2012, 13 pages main text + 13 pages appendix (short version). Under review.

  • 20S. Lacoste-Julien, K. Palla, A. Davies, G. Kasneci, T. Graepel, Z. Ghahramani.

    SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases, July 2012, 10 pages + 2 pages appendix; 5 figures – initial preprint.

  • 21N. Le Roux, M. Schmidt, F. Bach.

    A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets, 2012.

  • 22M. Lerasle, S. Arlot.

    V-fold cross-validation and V-fold penalization in least-squares density estimation, 2012.