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All publications by Francis R. Bach
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Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
K. Kumar and Francis R. Bach
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt and Francis R. Bach
Advances in Neural Information Processing Systems 25, 2012


Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy, Philippe Preux and Francis R. Bach
Advances in Neural Information Processing Systems 25, 2012


A convex relaxation for weakly supervised classifiers
Armand Joulin and Francis R. Bach
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Equivalence between Herding and Conditional Gradient Algorithms
Simon Lacoste-julien, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Shaping Level Sets with Submodular Functions
Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties
Toby Hocking, Jean-philippe Vert, Armand Joulin and Francis R. Bach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Proximal Methods for Sparse Hierarchical Dictionary Learning
Rodolphe Jenatton, Julien Mairal, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach and David M. Blei
Advances in Neural Information Processing Systems 23, 2010


Efficient Optimization for Discriminative Latent Class Models
Armand Joulin, Jean Ponce and Francis R. Bach
Advances in Neural Information Processing Systems 23, 2010


Network Flow Algorithms for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Francis R. Bach and Guillaume R. Obozinski
Advances in Neural Information Processing Systems 23, 2010


Structured sparsity-inducing norms through submodular functions
Francis R. Bach
Advances in Neural Information Processing Systems 23, 2010


Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski and Francis R. Bach
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
Jacob Abernethy, Theodoros Evgeniou, Jean-philippe Vert and Francis R. Bach
Journal of Machine Learning Research, 2009


Online dictionary learning for sparse coding
Julien Mairal, Jean Ponce, Guillermo Sapiro and Francis R. Bach
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 22, 2009


Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot and Francis R. Bach
Advances in Neural Information Processing Systems 22, 2009


Bolasso: model consistent Lasso estimation through the bootstrap
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Graph kernels between point clouds
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Optimal Solutions for Sparse Principal Component Analysis
Alexandre D'aspremont, Laurent E. Ghaoui and Francis R. Bach
Journal of Machine Learning Research, 2008


Consistency of the Group Lasso and Multiple Kernel Learning
Francis R. Bach
Journal of Machine Learning Research, 2008


Consistency of Trace Norm Minimization
Francis R. Bach
Journal of Machine Learning Research, 2008


Sparse probabilistic projections
Cédric Archambeau and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Supervised Dictionary Learning
Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Jean-philippe Vert and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Kernel Change-point Analysis
Za\"ıd Harchaoui, Eric Moulines and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Full regularization path for sparse principal component analysis
Alexandre D'aspremont, Francis R. Bach and Laurent E. Ghaoui
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


More efficiency in multiple kernel learning
Alain Rakotomamonjy, Stéphane Canu, Yves Grandvalet and Francis R. Bach
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


DIFFRAC: a discriminative and flexible framework for clustering
Francis R. Bach and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 20, 2007


Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 20, 2007


Statistical Consistency of Kernel Canonical Correlation Analysis
Kenji Fukumizu, Francis R. Bach and Arthur Gretton
Journal of Machine Learning Research, 2007


Active learning for misspecified generalized linear models
Francis R. Bach
Advances in Neural Information Processing Systems 19, 2006


Learning Spectral Clustering, With Application To Speech Separation
Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2006


Considering Cost Asymmetry in Learning Classifiers
Francis R. Bach, David Heckerman and Eric Horvitz
Journal of Machine Learning Research, 2006


Predictive low-rank decomposition for kernel methods
Francis R. Bach and Michael I. Jordan
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Statistical Convergence of Kernel CCA
Kenji Fukumizu, Arthur Gretton and Francis R. Bach
Advances in Neural Information Processing Systems 18, 2005


Multiple kernel learning, conic duality, and the SMO algorithm
Francis R. Bach, Gert Lanckriet and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Computing regularization paths for learning multiple kernels
Francis R. Bach, Romain Thibaux and Michael I. Jordan
Advances in Neural Information Processing Systems 17, 2004


Blind One-microphone Speech Separation: A Spectral Learning Approach
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 17, 2004


Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2004


Learning Spectral Clustering
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Kernel Dimensionality Reduction for Supervised Learning
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Beyond Independent Components: Trees and Clusters
Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2003


Kernel Independent Component Analysis
Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2002


Learning Graphical Models with Mercer Kernels
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 15, 2002


Thin Junction Trees
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001