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Francis R. Bach Vis

Francis Bach

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*2009
50EEJulien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro: Online dictionary learning for sparse coding. ICML 2009: 87
49EEMikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert: Global alignment of protein-protein interaction networks by graph matching methods. Bioinformatics 25(12): (2009)
48EEFrancis Bach: Model-Consistent Sparse Estimation through the Bootstrap CoRR abs/0901.3202: (2009)
47EEJulien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro: Online Learning for Matrix Factorization and Sparse Coding CoRR abs/0908.0050: (2009)
46EEFrancis Bach: High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning CoRR abs/0909.0844: (2009)
45EEFrancis Bach: Self-concordant analysis for logistic regression CoRR abs/0910.4627: (2009)
2008
44EEJulien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Discriminative learned dictionaries for local image analysis. CVPR 2008
43EEJulien Mairal, Marius Leordeanu, Francis Bach, Martial Hebert, Jean Ponce: Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) 2008: 43-56
42EEMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: A Path Following Algorithm for Graph Matching. ICISP 2008: 329-337
41EEFrancis R. Bach: Graph kernels between point clouds. ICML 2008: 25-32
40EEFrancis R. Bach: Bolasso: model consistent Lasso estimation through the bootstrap. ICML 2008: 33-40
39EEJulien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Supervised Dictionary Learning. NIPS 2008: 1033-1040
38EEFrancis Bach: Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning. NIPS 2008: 105-112
37EEZaïd Harchaoui, Francis Bach, Eric Moulines: Kernel Change-point Analysis. NIPS 2008: 609-616
36EECédric Archambeau, Francis Bach: Sparse probabilistic projections. NIPS 2008: 73-80
35EELaurent Jacob, Francis Bach, Jean-Philippe Vert: Clustered Multi-Task Learning: A Convex Formulation. NIPS 2008: 745-752
34EEMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: Path following algorithm for the graph matching problem CoRR abs/0801.3654: (2008)
33EEFrancis Bach, Jacob Abernethy, Jean-Philippe Vert, Theodoros Evgeniou: A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR abs/0802.1430: (2008)
32EEFrancis Bach: Bolasso: model consistent Lasso estimation through the bootstrap CoRR abs/0804.1302: (2008)
31EEFrancis Bach: Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning CoRR abs/0809.1493: (2008)
30EELaurent Jacob, Francis Bach, Jean-Philippe Vert: Clustered Multi-Task Learning: A Convex Formulation CoRR abs/0809.2085: (2008)
29EEJulien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Supervised Dictionary Learning CoRR abs/0809.3083: (2008)
28EEFrancis Bach, Julien Mairal, Jean Ponce: Convex Sparse Matrix Factorizations CoRR abs/0812.1869: (2008)
2007
27EEZaïd Harchaoui, Francis Bach: Image Classification with Segmentation Graph Kernels. CVPR 2007
26EEAlexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui: Full regularization path for sparse principal component analysis. ICML 2007: 177-184
25EEAlain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
24EEFrancis Bach, Zaïd Harchaoui: DIFFRAC: a discriminative and flexible framework for clustering. NIPS 2007
23EEZaïd Harchaoui, Francis Bach, Eric Moulines: Testing for Homogeneity with Kernel Fisher Discriminant Analysis. NIPS 2007
22EEYoshihiro Yamanishi, Francis Bach, Jean-Philippe Vert: Glycan classification with tree kernels. Bioinformatics 23(10): 1211-1216 (2007)
21EEAlexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui: Optimal Solutions for Sparse Principal Component Analysis CoRR abs/0707.0705: (2007)
20EEFrancis Bach: Consistency of the group Lasso and multiple kernel learning CoRR abs/0707.3390: (2007)
19EEFrancis Bach: Consistency of trace norm minimization CoRR abs/0710.2848: (2007)
18EEFrancis Bach: Graph kernels between point clouds CoRR abs/0712.3402: (2007)
2006
17EEFrancis R. Bach: Active learning for misspecified generalized linear models. NIPS 2006: 65-72
16EEJacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert: Low-rank matrix factorization with attributes CoRR abs/cs/0611124: (2006)
15EEFrancis R. Bach, David Heckerman, Eric Horvitz: Considering Cost Asymmetry in Learning Classifiers. Journal of Machine Learning Research 7: 1713-1741 (2006)
14EEFrancis R. Bach, Michael I. Jordan: Learning Spectral Clustering, With Application To Speech Separation. Journal of Machine Learning Research 7: 1963-2001 (2006)
2005
13EEFrancis R. Bach, Michael I. Jordan: Predictive low-rank decomposition for kernel methods. ICML 2005: 33-40
12EEKenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Convergence of Kernel CCA. NIPS 2005
2004
11EEFrancis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan: Multiple kernel learning, conic duality, and the SMO algorithm. ICML 2004
10EEFrancis R. Bach, Michael I. Jordan: Blind One-microphone Speech Separation: A Spectral Learning Approach. NIPS 2004
9EEFrancis R. Bach, Romain Thibaux, Michael I. Jordan: Computing regularization paths for learning multiple kernels. NIPS 2004
8EEKenji Fukumizu, Francis R. Bach, Michael I. Jordan: Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces. Journal of Machine Learning Research 5: 73-99 (2004)
2003
7EEKenji Fukumizu, Francis R. Bach, Michael I. Jordan: Kernel Dimensionality Reduction for Supervised Learning. NIPS 2003
6EEFrancis R. Bach, Michael I. Jordan: Learning Spectral Clustering. NIPS 2003
5EEFrancis R. Bach, Michael I. Jordan: Beyond Independent Components: Trees and Clusters. Journal of Machine Learning Research 4: 1205-1233 (2003)
2002
4EEFrancis R. Bach, Michael I. Jordan: Learning Graphical Models with Mercer Kernels. NIPS 2002: 1009-1016
3 Francis R. Bach, Michael I. Jordan: Tree-dependent Component Analysis. UAI 2002: 36-44
2EEFrancis R. Bach, Michael I. Jordan: Kernel Independent Component Analysis. Journal of Machine Learning Research 3: 1-48 (2002)
2001
1EEFrancis R. Bach, Michael I. Jordan: Thin Junction Trees. NIPS 2001: 569-576

Coauthor Index

1Jacob Abernethy [16] [33]
2Cédric Archambeau [36]
3Stéphane Canu [25]
4Theodoros Evgeniou [16] [33]
5Kenji Fukumizu [7] [8] [12]
6Laurent El Ghaoui [21] [26]
7Yves Grandvalet [25]
8Arthur Gretton [12]
9Zaïd Harchaoui [23] [24] [27] [37]
10Martial Hebert [43]
11David Heckerman [15]
12Eric Horvitz [15]
13Laurent Jacob [30] [35]
14Michael I. Jordan [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14]
15Gert R. G. Lanckriet [11]
16Marius Leordeanu [43]
17Julien Mairal [28] [29] [39] [43] [44] [47] [50]
18Eric Moulines [23] [37]
19Jean Ponce [28] [29] [39] [43] [44] [47] [50]
20Alain Rakotomamonjy [25]
21Guillermo Sapiro [29] [39] [44] [47] [50]
22Romain Thibaux [9]
23Jean-Philippe Vert [16] [22] [30] [33] [34] [35] [42] [49]
24Yoshihiro Yamanishi [22]
25Mikhail Zaslavskiy [34] [42] [49]
26Andrew Zisserman [29] [39] [44]
27Alexandre d'Aspremont [21] [26]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)