Overall Objectives
New Software and Platforms
Bilateral Contracts and Grants with Industry
Overall Objectives
New Software and Platforms
Bilateral Contracts and Grants with Industry


Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1S. Arlot.

    Contributions to statistical learning theory: estimator selection and change-point detection, Université Paris Diderot, December 2014, Rapporteurs: Stéphane Boucheron, Arnak Dalalyan, Gabor Lugosi, Habilitation à diriger des recherches.


Articles in International Peer-Reviewed Journals

  • 2F. Bach.

    Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression, in: Journal of Machine Learning Research, 2014, vol. 15, pp. 595-627.

  • 3F. Bach.

    Duality between subgradient and conditional gradient methods, in: SIAM Journal of Optimization, January 2015, vol. 25, no 1, pp. 115-129. [ DOI : 10.1137/130941961 ]

  • 4T. D. Hocking, V. Boeva, G. Rigaill, G. Schleiermacher, I. Janoueix-Lerosey, O. Delattre, W. Richer, F. Bourdeaut, M. Suguro, M. Seto, F. Bach, J.-P. Vert.

    SegAnnDB: interactive web-based genomic segmentation, in: Bioinformatics, 2014, vol. 30, no 11, pp. 1539-1546. [ DOI : 10.1093/bioinformatics/btu072 ]

  • 5A. Osokin, D. Vetrov.

    Submodular relaxation for inference in Markov random fields, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2014, 14 p. [ DOI : 10.1109/TPAMI.2014.2369046 ]

  • 6F. Pedregosa, M. Eickenberg, P. Ciuciu, B. Thirion, A. Gramfort.

    Data-driven HRF estimation for encoding and decoding models, in: NeuroImage, January 2015, pp. 209–220.


International Conferences with Proceedings

  • 7P. Bojanowski, R. Lajugie, F. Bach, I. Laptev, J. Ponce, C. Schmid, J. Sivic.

    Weakly Supervised Action Labeling in Videos Under Ordering Constraints, in: ECCV - European Conference on Computer Vision, Zurich, Switzerland, September 2014, pp. 628-643. [ DOI : 10.1007/978-3-319-10602-1_41 ]

  • 8V. Borghesani, F. Pedregosa, E. Eger, M. Buiatti, M. Piazza.

    A perceptual-to-conceptual gradient of word coding along the ventral path, in: Pattern Recognition in Neuroimaging, Tubingen, Germany, IEEE, June 2014.

  • 9A. Defazio, F. Bach, S. Lacoste-Julien.

    SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives, in: Advances In Neural Information Processing Systems, Montreal, Canada, November 2014.

  • 10F. Fogel, A. D'Aspremont, M. Vojnovic.

    Spectral Ranking using Seriation, in: Neural Information Processing Systems (NIPS), Montréal, Canada, December 2014.

  • 11D. Garreau, R. Lajugie, S. Arlot, F. Bach.

    Metric Learning for Temporal Sequence Alignment, in: Advances in Neural Information Processing Systems 27 (NIPS 2014), Montréal, Canada, December 2014.

  • 12E. Grave.

    A convex relaxation for weakly supervised relation extraction, in: Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, ACL SIGDAT, October 2014.

  • 13E. Grave, G. Obozinski, F. Bach.

    A Markovian approach to distributional semantics with application to semantic compositionality, in: International Conference on Computational Linguistics (Coling), Dublin, Ireland, International Committee on Computational Linguistics (ICCL), August 2014, pp. 1447 - 1456.

  • 14R. Lajugie, S. Arlot, F. Bach.

    Large-Margin Metric Learning for Constrained Partitioning Problems, in: Proceedings of The 31st International Conference on Machine Learning, Beijing, China, June 2014.

  • 15L. Landrieu, G. Obozinski.

    Continuously indexed Potts models on unoriented graphs, in: UAI 20114 - 30th Conference on Uncertainty in Artificial Intelligence, Quebec, Canada, July 2014, pp. 459-468.

  • 16M. Seibert, M. Kleinsteuber, R. Gribonval, R. Jenatton, F. Bach.

    On The Sample Complexity Of Sparse Dictionary Learning, in: SSP 2014 - IEEE Workshop on Statistical Signal Processing, Jupiters, Gold Coast, Australia, IEEE, June 2014, This work was partially supported Cluster of Excellence CoTeSys funded by the German DFG. This work was partially supported by the EU FP7, SMALL project, FET-Open grant number 225913.

  • 17K. Vervier, P. Mahé, A. D'Aspremont, J.-B. Veyrieras, J.-P. Vert.

    On learning matrices with orthogonal columns or disjoint supports, in: European Conference, ECML PKDD, Nancy, France, T. Calder (editor), Machine Learning and Knowledge Discovery in Databases, September 2014, vol. LNCS 8726, pp. 274-289. [ DOI : 10.1007/978-3-662-44845-8_18 ]


Conferences without Proceedings

  • 18E. Grave.

    Weakly supervised named entity classification, in: Workshop on Automated Knowledge Base Construction (AKBC), Montréal, Canada, December 2014.

  • 19R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.

    Apprentissage de dictionnaire pour les représentations parcimonieuses, in: 46e Journées de Statistique, Rennes, France, Société Française de Statistique, June 2014, This is an abstract of the full preprint available at http://hal.inria.fr/hal-00918142/.


Scientific Books (or Scientific Book chapters)

  • 20J. Mairal, F. Bach, J. Ponce.

    Sparse Modeling for Image and Vision Processing, Foundations and Trends in Computer Graphics and Vision, now publishers, December 2014, vol. 8, no 2-3, 216 p. [ DOI : 10.1561/9781680830095 ]


Internal Reports

Other Publications