Project-Team Sierra
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
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Dissemination
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 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 ]
    https://hal.archives-ouvertes.fr/hal-00757696
  • 4F. Fogel, R. Jenatton, F. Bach, A. d'Aspremont.
    Convex Relaxations for Permutation Problems, in: SIAM Journal on Matrix Analysis and Applications, December 2015, vol. 36, no 4. [ DOI : 10.1137/130947362 ]
    https://hal.archives-ouvertes.fr/hal-01239317
  • 5R. Gribonval, R. Jenatton, F. Bach.
    Sparse and spurious: dictionary learning with noise and outliers, in: IEEE Transactions on Information Theory, 2015, 22 p, This is a substantially revised version of a first draft that appeared as a preprint titled "Local stability and robustness of sparse dictionary learning in the presence of noise", http://hal.inria.fr/hal-00737152. [ DOI : 10.1109/TIT.2015.2472522 ]
    https://hal.archives-ouvertes.fr/hal-01025503
  • 6R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.
    Sample Complexity of Dictionary Learning and other Matrix Factorizations, in: IEEE Transactions on Information Theory, 2015, 18 p, forthcoming. [ DOI : 10.1109/TIT.2015.2424238 ]
    https://hal.inria.fr/hal-00918142
  • 7A. Osokin, D. P. Vetrov.
    Submodular Relaxation for Inference in Markov Random Fields, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2015, vol. 37, no 7, 14 p. [ DOI : 10.1109/TPAMI.2014.2369046 ]
    https://hal.archives-ouvertes.fr/hal-01103488
  • 8F. 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.
    https://hal.inria.fr/hal-00952554
  • 9N. Shervashidze, F. Bach.
    Learning the Structure for Structured Sparsity, in: IEEE Transactions on Signal Processing, September 2015, vol. 63, no 18, pp. 4894 - 4902. [ DOI : 10.1109/TSP.2015.2446432 ]
    https://hal.inria.fr/hal-00986380
  • 10I. Waldspurger, A. d'Aspremont, S. Mallat.
    Phase recovery, MaxCut and complex semidefinite programming, in: Mathematical Programming, February 2015, vol. 149, no 1-2. [ DOI : 10.1007/s10107-013-0738-9 ]
    https://hal.archives-ouvertes.fr/hal-01239328

International Conferences with Proceedings

  • 11A. Bietti, F. Bach, A. Cont.
    An online EM algorithm in hidden (semi-)Markov models for audio segmentation and clustering, in: ICASSP 2015 - 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, April 2015.
    https://hal.inria.fr/hal-01115826
  • 12P. Bojanowski, R. Lajugie, E. Grave, F. Bach, I. Laptev, J. Ponce, C. Schmid.
    Weakly-Supervised Alignment of Video With Text, in: ICCV 2015 - IEEE International Conference on Computer Vision, Santiago, Chile, December 2015.
    https://hal.inria.fr/hal-01154523
  • 13V. Chari, S. Lacoste-Julien, I. Laptev, J. Sivic.
    On Pairwise Cost for Multi-Object Network Flow Tracking, in: CVPR 2015 - 28th IEEE Conference on Computer Vision and Pattern Recognition, Boston, United States, June 2015.
    https://hal.inria.fr/hal-01110678
  • 14A. Défossez, F. Bach.
    Constant Step Size Least-Mean-Square: Bias-Variance Trade-offs and Optimal Sampling Distributions, in: International Conference on Artificial Intelligence and Statistics (AISTATS),, San Diego, United States, 2015.
    https://hal.inria.fr/hal-01081578
  • 15T. Hofmann, A. Lucchi, S. Lacoste-Julien, B. McWilliams.
    Variance Reduced Stochastic Gradient Descent with Neighbors, in: NIPS 2015 - Advances in Neural Information Processing Systems 28, Montreal, Canada, December 2015.
    https://hal.inria.fr/hal-01248672
  • 16R. G. Krishnan, S. Lacoste-Julien, D. Sontag.
    Barrier Frank-Wolfe for Marginal Inference, in: NIPS 2015 - Advances in Neural Information Processing Systems 28, Montreal, Canada, December 2015.
    https://hal.inria.fr/hal-01248674
  • 17S. Lacoste-Julien, M. Jaggi.
    On the Global Linear Convergence of Frank-Wolfe Optimization Variants, in: NIPS 2015 - Advances in Neural Information Processing Systems 28, Montreal, Canada, December 2015.
    https://hal.inria.fr/hal-01248675
  • 18S. Lacoste-Julien, F. Lindsten, F. Bach.
    Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering, in: 18th International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, United States, JMLR Workshop and Conference Proceedings, May 2015, vol. 38.
    https://hal.archives-ouvertes.fr/hal-01099197
  • 19R. Lajugie, P. Bojanowski, P. Cuvillier, S. Arlot, F. Bach.
    A weakly-supervised discriminative model for audio-to-score alignment, in: 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.
    https://hal.archives-ouvertes.fr/hal-01251018
  • 20A. Novikov, D. Podoprikhin, A. Osokin, D. Vetrov.
    Tensorizing Neural Networks, in: The 29-th Conference on Natural Information Processing Systems (NIPS), Montréal, Canada, December 2015.
    https://hal.archives-ouvertes.fr/hal-01237600
  • 21A. Podosinnikova, F. Bach, S. Lacoste-Julien.
    Rethinking LDA: Moment Matching for Discrete ICA, in: NIPS 2015 - Advances in Neural Information Processing Systems 28, Montreal, Canada, December 2015.
    https://hal.inria.fr/hal-01225271
  • 22R. Shapovalov, D. Vetrov, A. Osokin, P. Kohli.
    Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions, in: Energy Minimization Methods in Computer Vision and Pattern Recognition, Hong Kong, China, Lecture Notes in Computer Science, January 2015, vol. 8932, pp. 406-420. [ DOI : 10.1007/978-3-319-14612-6_30 ]
    https://hal.archives-ouvertes.fr/hal-01237571
  • 23T.-H. Vu, A. Osokin, I. Laptev.
    Context-aware CNNs for person head detection, in: ICCV 2015 - IEEE International Conference on Computer Vision, Santiago, Chile, December 2015.
    https://hal.archives-ouvertes.fr/hal-01237618

Conferences without Proceedings

  • 24S. El Aouad, C. Dupuy, R. Teixeira, C. Diot, F. Bach.
    Exploiting crowd sourced reviews to explain movie recommendation, in: 2nd Workshop on Recommendation Systems for Television and Online Video, Vienna, Austria, September 2015.
    https://hal.inria.fr/hal-01193308
  • 25R. Shivanna, B. Chatterjee, R. Sankaran, C. Bhattacharyya, F. Bach.
    Spectral Norm Regularization of Orthonormal Representations for Graph Transduction, in: Neural Information Processing Systems, Montreal, Canada, December 2015.
    https://hal.archives-ouvertes.fr/hal-01265524
  • 26B. Thirion, F. Pedregosa, M. Eickenberg, G. Varoquaux.
    Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis, in: ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Lille, France, Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, July 2015.
    https://hal.inria.fr/hal-01187297

Internal Reports

Scientific Popularization

  • 28G. Varoquaux, E. Gouillart, O. Vahtras, V. Haenel, N. P. Rougier, R. Gommers, F. Pedregosa, Z. Jędrzejewski-Szmek, P. Virtanen, C. Combelles, D. Pinte, R. Cimrman, A. Espaze, A. Chauve, C. Burns.
    Scipy Lecture Notes, Zenodo, 2015. [ DOI : 10.5281/zenodo.31736 ]
    https://hal.inria.fr/hal-01206546

Other Publications


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