Bibliography

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, n^o 4, p. 450-468.

http://hal.inria.fr/hal-00621245
2M. P. Friedlander, M. Schmidt.

Hybrid Deterministic-Stochastic Methods for Data Fitting, in: SIAM Journal on Scientific Computing, 2012, vol. 34, n^o 3, p. A1380-A1405, 22 pages. [ DOI : 10.1137/110830629 ]

http://hal.inria.fr/inria-00626571
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, n^o 3, p. 835-856. [ DOI : 10.1137/110832380 ]

http://hal.inria.fr/inria-00589785
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.

http://hal.inria.fr/hal-00610534

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.

http://hal.inria.fr/hal-00681128
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.

http://hal.inria.fr/hal-00717714
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.

http://hal.inria.fr/hal-00776335
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.

http://hal.inria.fr/hal-00717450
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.

http://hal.inria.fr/hal-00717448
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.

http://hal.inria.fr/hal-00717366
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.

http://hal.inria.fr/hal-00717990
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.

http://hal.inria.fr/hal-00717954

Internal Reports

13R. Jenatton, R. Gribonval, F. Bach.

Local stability and robustness of sparse dictionary learning in the presence of noise, HAL-Inria, October 2012, 41 p.

http://hal.inria.fr/hal-00737152
14H. Kadri, A. Rakotomamonjy, F. Bach, P. Preux.

Multiple Operator-valued Kernel Learning, Inria, March 2012, n^o RR-7900.

http://hal.inria.fr/hal-00677012
15G. Obozinski, F. Bach.

Convex Relaxation for Combinatorial Penalties, HAL-Inria, May 2012, 35 page.

http://hal.inria.fr/hal-00694765

Other Publications

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

Kernel change-point detection, 2012.

http://hal.inria.fr/hal-00671174
17F. Bach.

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

http://hal.inria.fr/hal-00723365
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.

http://hal.inria.fr/hal-00663790
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.

http://hal.inria.fr/hal-00720158
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.

http://hal.inria.fr/hal-00768180
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.

http://hal.inria.fr/hal-00674995
22M. Lerasle, S. Arlot.

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

http://hal.inria.fr/hal-00743931

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