Publications of Francis Bach

Thesis

• F. Bach. Methodes parcimonieuses pour l'apprentissage statistique. Habilitation a Diriger les Recherches (HDR), Ecole Normale Superieure de Cachan (ENS), January 2009.

Articles in journal or book chapters

• J. Mairal, F. Bach, and J. Ponce. Sparse Modeling for Image and Vision Processing. Foundation and Trends in Computer Graphics and Vision, 8(2-3):85-283, 2014.



• J. Mairal, F. Bach, and J. Ponce. Task-Driven Dictionary Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4):791-804, 2012.



• O. Duchenne, F. Bach, I.-S. Kweon, and J. Ponce. A tensor-based algorithm for high-order graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(12):2383-2395, 2011.



• R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal Methods for Hierachichal Sparse Coding. Journal of Machine Learning Research, 12:2297-2334, 2011.



• M. Journee, F. Bach, P.-A. Absil, and R. Sepulchre. Low-Rank Optimization on the Cone of Positive Semidefinite Matrices. SIAM Journal on Optimization, 20(5):2327-2351, 2010.



• J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Learning for Matrix Factorization and Sparse Coding. Journal of Machine Learning Research, 11:19-60, 2010.



• F. Bach. High-dimensional non-linear variable selection through hierarchical kernel learning. Arxiv preprint arXiv:0909.0844, 2009.



• K. Fukumizu, F. Bach, and M. I. Jordan. Kernel dimension reduction in regression. Annals of Statistics, 37(4):1871-1905, 2009.



• M. Zaslavskiy, F. Bach, and J.-P. Vert. A path following algorithm for the graph matching problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12):2227-2242, 2009.



• F. Bach. Consistency of the group Lasso and multiple kernel learning. Journal of Machine Learning Research, 9:1179-1225, 2008.



• F. Bach. Consistency of trace norm minimization. Journal of Machine Learning Research, 9:1019-1048, 2008.



• A. Rakotomamonjy, F. Bach, S. Canu, and Y. Grandvalet. SimpleMKL. Journal of Machine Learning Research, 9:2491-2521, 2008.



• A. d'Aspremont, F. Bach, and L. El Ghaoui. Optimal solutions for sparse principal component analysis. Journal of Machine Learning Research, 9:1269-1294, 2008.

Conference articles

• H. V. Vo, F. Bach, M. Cho, K. Han, Y. LeCun, P. Pérez, and J. Ponce. Unsupervised Image Matching and Object Discovery as Optimization. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.



• R. Rezende, J. Zepeda, J. Ponce, F. Bach, and P. Pérez. Kernel Square-Loss Exemplar Machines for Image Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.



• P. Bojanowski, R. Lajugie, E. Grave, F. Bach, I. Laptev, J. Ponce, and C. Schmid. Weakly-Supervised Alignment of Video With Text. In International Conference on Computer Vision, 2015.



• P. Bojanowski, R. Lajugie, F. Bach, I. Laptev, J. Ponce, C. Schmid, and J. Sivic. Weakly Supervised Action Labeling in Videos Under Ordering Constraints. In European Conference on Computer Vision, 2014.



• P. Bojanowski, F. Bach, I. and Laptev, J. Ponce, C. Schmid, and J. Sivic. Finding Actors and Actions in Movies. In International Conference on Computer Vision, 2013.



• A. Joulin and F. Bach. A convex relaxation for weakly supervised classifiers. In International Conference on Machine Learning, 2012.



• A. Joulin, F. Bach, and J. Ponce. Multi-Class Cosegmentation. In IEEE Conference on Computer Vision and Pattern Recognition, 2012.



• L. Benoît, J. Mairal, F. Bach, and J. Ponce. Sparse Image Representation with Epitomes. In IEEE Conference on Computer Vision and Pattern Recognition, 2011.



• Y-L. Boureau, N. Le Roux, F. Bach, J. Ponce, and Y. LeCun. Ask the locals: Multi-way local pooling for image recognition. In International Conference on Computer Vision, 2011.



• T.D. Hocking, A. Joulin, F. Bach, and J.P. Vert. Clusterpath An Algorithm for Clustering using Convex Fusion Penalties. In International Conference on Machine Learning, 2011.



• Y-L. Boureau, F. Bach, LeCun Y., and J. Ponce. Learning Mid-Level Features For Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.



• R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal Methods for Sparse Hierachichal Dictionary Learning. In International Conference on Machine Learning, 2010.



• R. Jenatton, G. Obozinski, and F. Bach. Structured sparse principal component analysis. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2010.



• A. Joulin, F. Bach, and J. Ponce. Discriminative clustering for image co-segmentation. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.



• A. Joulin, F. Bach, and J. Ponce. Efficient Optimization for Discriminative Latent Class Models. In Advances in Neural Information Processing Systems, 2010.



• P. Liang, F. Bach, G. Bouchard, and M.I. Jordan. Asymptotically optimal regularization in smooth parametric models. In Advances in Neural Information Processing Systems, 2010.



• J. Mairal, R. Jenatton, G. Obozinski, and F. Bach. Network Flow Algorithms for Structured Sparsity. In Advances in Neural Information Processing Systems, 2010.



• S. Arlot and F. Bach. Data-driven calibration of linear estimators with minimal penalties. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 46-54, 2009. Note: Long version: arXiv:0909.1884.



• O. Duchenne, F. Bach, I. Kweon, and J. Ponce. A Tensor-Based Algorithm for High-Order Graph Matching. In IEEE Conference on Computer Vision and Pattern Recognition, 2009.



• O. Duchenne, I. Laptev, J. Sivic, F. Bach, and J. Ponce. Automatic Annotation of Human Actions in Video. In International Conference on Computer Vision, 2009.



• J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Dictionary Learning for Sparse Coding. In International Conference on Machine Learning, 2009.



• J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Non-local Sparse Models for Image Restoration. In International Conference on Computer Vision, 2009.



• C. Archambeau and F. Bach. Sparse probabilistic projections. In Advances in Neural Information Processing Systems, 2008.



• F. Bach. Bolasso: Model consistent Lasso estimation through the bootstrap. In International Conference on Machine Learning, 2008.



• F. Bach. Graph kernels between point clouds. In International Conference on Machine Learning, 2008.



• Z. Harchaoui, F. Bach, and E. Moulines. Kernel change-point analysis. In Advances in Neural Information Processing Systems, 2008.



• J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Discriminative Learned Dictionaries for Local Image Analysis. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.



• J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Supervised Dictionary Learning. In Advances in Neural Information Processing Systems, 2008.



• J. Mairal, Marius Leordeanu, F. Bach, Martial Hebert, and J. Ponce. Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. In European Conference on Computer Vision, 2008.



• F. Bach and Z. Harchaoui. DIFFRAC: a discriminative and flexible framework for clustering. In Advances in Neural Information Processing Systems, volume 20, 2007.



• Z. Harchaoui, F. Bach, and E. Moulines. Testing for Homogeneity with Kernel Fisher Discriminant Analysis. In Advances in Neural Information Processing Systems, volume 20, 2007. Note: In Press.

Internal reports

• F. Couzinie, J. Mairal, F. Bach, and J. Ponce. Dictionary Learning for Deblurring and Digital Zoom. Technical report, 2011. Note: ArXiv:1110.0957.



• F. Bach, J. Mairal, and J. Ponce. Convex Sparse Matrix Factorizations. Technical report, December 2008. Note: ArXiv:0812.1869.

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