Francis R. Bach

Francis Bach

	2012
111		Francis Bach: Structured Sparsity and Convex Optimization. ICPRAM (1) 2012
110		Nicolas Le Roux, Mark Schmidt, Francis Bach: A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets CoRR abs/1202.6258: (2012)
109		Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux: Multiple Operator-valued Kernel Learning CoRR abs/1203.1596: (2012)
108		Francis Bach, Simon Lacoste-Julien, Guillaume Obozinski: On the Equivalence between Herding and Conditional Gradient Algorithms CoRR abs/1203.4523: (2012)
107		Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski: Optimization with Sparsity-Inducing Penalties. Foundations and Trends in Machine Learning 4(1): 1-106 (2012)
106		Julien Mairal, Francis Bach, Jean Ponce: Task-Driven Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 791-804 (2012)
	2011
105		Louise Benoît, Julien Mairal, Francis Bach, Jean Ponce: Sparse image representation with epitomes. CVPR 2011: 2913-2920
104		Augustin Lefevre, Francis Bach, Cédric Févotte: Itakura-Saito nonnegative matrix factorization with group sparsity. ICASSP 2011: 21-24
103		Y-Lan Boureau, Nicolas Le Roux, Francis Bach, Jean Ponce, Yann LeCun: Ask the locals: Multi-way local pooling for image recognition. ICCV 2011: 2651-2658
102		Toby Hocking, Jean-Philippe Vert, Francis Bach, Armand Joulin: Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML 2011: 745-752
101		Francis Bach: Shaping Level Sets with Submodular Functions. NIPS 2011: 10-18
100		Mark Schmidt, Nicolas Le Roux, Francis Bach: Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization. NIPS 2011: 1458-1466
99		Edouard Grave, Guillaume Obozinski, Francis Bach: Trace Lasso: a trace norm regularization for correlated designs. NIPS 2011: 2187-2195
98		Francis Bach, Eric Moulines: Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning. NIPS 2011: 451-459
97		Augustin Lefevre, Francis Bach, Cédric Févotte: Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence. WASPAA 2011: 313-316
96		Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach: Convex and Network Flow Optimization for Structured Sparsity CoRR abs/1104.1872: (2011)
95		Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski: Optimization with Sparsity-Inducing Penalties CoRR abs/1108.0775: (2011)
94		Nicolas Le Roux, Francis Bach: Local Component Analysis CoRR abs/1109.0093: (2011)
93		Edouard Grave, Guillaume Obozinski, Francis R. Bach: Trace Lasso: a trace norm regularization for correlated designs CoRR abs/1109.1990: (2011)
92		Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski: Structured sparsity through convex optimization CoRR abs/1109.2397: (2011)
91		Mark Schmidt, Nicolas Le Roux, Francis Bach: Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization CoRR abs/1109.2415: (2011)
90		Florent Couzinie-Devy, Julien Mairal, Francis Bach, Jean Ponce: Dictionary Learning for Deblurring and Digital Zoom CoRR abs/1110.0957: (2011)
89		Louise Benoît, Julien Mairal, Francis Bach, Jean Ponce: Sparse Image Representation with Epitomes CoRR abs/1110.2855: (2011)
88		Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach: Learning Hierarchical and Topographic Dictionaries with Structured Sparsity CoRR abs/1110.4481: (2011)
87		Francis Bach: Learning with Submodular Functions: A Convex Optimization Perspective CoRR abs/1111.6453: (2011)
86		B. Mishra, Gilles Meyer, Francis Bach, Rodolphe Sepulchre: Low-rank optimization with trace norm penalty CoRR abs/1112.2318: (2011)
85		Olivier Duchenne, Francis Bach, In-So Kweon, Jean Ponce: A Tensor-Based Algorithm for High-Order Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2383-2395 (2011)
84		Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis Bach: Proximal Methods for Hierarchical Sparse Coding. Journal of Machine Learning Research 12: 2297-2334 (2011)
83		Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach: Convex and Network Flow Optimization for Structured Sparsity. Journal of Machine Learning Research 12: 2681-2720 (2011)
82		Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach: Structured Variable Selection with Sparsity-Inducing Norms. Journal of Machine Learning Research 12: 2777-2824 (2011)
81		Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu: Preface. Math. Program. 127(1): 1-2 (2011)
	2010
80		Armand Joulin, Francis R. Bach, Jean Ponce: Discriminative clustering for image co-segmentation. CVPR 2010: 1943-1950
79		Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponce: Learning mid-level features for recognition. CVPR 2010: 2559-2566
78		Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: Many-to-Many Graph Matching: A Continuous Relaxation Approach. ECML/PKDD (3) 2010: 515-530
77		Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis Bach: Proximal Methods for Sparse Hierarchical Dictionary Learning. ICML 2010: 487-494
76		Armand Joulin, Francis R. Bach, Jean Ponce: Efficient Optimization for Discriminative Latent Class Models. NIPS 2010: 1045-1053
75		Francis R. Bach: Structured sparsity-inducing norms through submodular functions. NIPS 2010: 118-126
74		Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach: Network Flow Algorithms for Structured Sparsity. NIPS 2010: 1558-1566
73		Matthew D. Hoffman, David M. Blei, Francis R. Bach: Online Learning for Latent Dirichlet Allocation. NIPS 2010: 856-864
72		Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: Many-to-Many Graph Matching: a Continuous Relaxation Approach CoRR abs/1004.4965: (2010)
71		Francis Bach, Selin Damla Ahipasaoglu, Alexandre d'Aspremont: Convex Relaxations for Subset Selection CoRR abs/1006.3601: (2010)
70		Francis Bach: Structured sparsity-inducing norms through submodular functions CoRR abs/1008.4220: (2010)
69		Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach: Network Flow Algorithms for Structured Sparsity CoRR abs/1008.5209: (2010)
68		Francis Bach: Convex Analysis and Optimization with Submodular Functions: a Tutorial CoRR abs/1010.4207: (2010)
67		Francis Bach: Shaping Level Sets with Submodular Functions CoRR abs/1012.1501: (2010)
66		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro: Online Learning for Matrix Factorization and Sparse Coding. Journal of Machine Learning Research 11: 19-60 (2010)
65		Rodolphe Jenatton, Guillaume Obozinski, Francis Bach: Structured Sparse Principal Component Analysis. Journal of Machine Learning Research - Proceedings Track 9: 366-373 (2010)
64		Michel Journée, Francis R. Bach, Pierre-Antoine Absil, Rodolphe Sepulchre: Low-Rank Optimization on the Cone of Positive Semidefinite Matrices. SIAM Journal on Optimization 20(5): 2327-2351 (2010)
	2009
63		Olivier Duchenne, Francis R. Bach, In-So Kweon, Jean Ponce: A tensor-based algorithm for high-order graph matching. CVPR 2009: 1980-1987
62		Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis Bach, Jean Ponce: Automatic annotation of human actions in video. ICCV 2009: 1491-1498
61		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Non-local sparse models for image restoration. ICCV 2009: 2272-2279
60		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro: Online dictionary learning for sparse coding. ICML 2009: 87
59		Percy Liang, Francis R. Bach, Guillaume Bouchard, Michael I. Jordan: Asymptotically Optimal Regularization in Smooth Parametric Models. NIPS 2009: 1132-1140
58		Sylvain Arlot, Francis R. Bach: Data-driven calibration of linear estimators with minimal penalties. NIPS 2009: 46-54
57		Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert: Global alignment of protein-protein interaction networks by graph matching methods. Bioinformatics 25(12): (2009)
56		Francis Bach: Model-Consistent Sparse Estimation through the Bootstrap CoRR abs/0901.3202: (2009)
55		Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro: Online Learning for Matrix Factorization and Sparse Coding CoRR abs/0908.0050: (2009)
54		Francis Bach: High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning CoRR abs/0909.0844: (2009)
53		Francis Bach: Self-concordant analysis for logistic regression CoRR abs/0910.4627: (2009)
52		Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert: A Path Following Algorithm for the Graph Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2227-2242 (2009)
51		Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert: A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. Journal of Machine Learning Research 10: 803-826 (2009)
	2008
50		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Discriminative learned dictionaries for local image analysis. CVPR 2008
49		Julien 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
48		Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: A Path Following Algorithm for Graph Matching. ICISP 2008: 329-337
47		Francis R. Bach: Graph kernels between point clouds. ICML 2008: 25-32
46		Francis R. Bach: Bolasso: model consistent Lasso estimation through the bootstrap. ICML 2008: 33-40
45		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Supervised Dictionary Learning. NIPS 2008: 1033-1040
44		Francis Bach: Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning. NIPS 2008: 105-112
43		Zaïd Harchaoui, Francis Bach, Eric Moulines: Kernel Change-point Analysis. NIPS 2008: 609-616
42		Cédric Archambeau, Francis Bach: Sparse probabilistic projections. NIPS 2008: 73-80
41		Laurent Jacob, Francis Bach, Jean-Philippe Vert: Clustered Multi-Task Learning: A Convex Formulation. NIPS 2008: 745-752
40		Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert: Path following algorithm for the graph matching problem CoRR abs/0801.3654: (2008)
39		Francis Bach, Jacob Abernethy, Jean-Philippe Vert, Theodoros Evgeniou: A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR abs/0802.1430: (2008)
38		Francis Bach: Bolasso: model consistent Lasso estimation through the bootstrap CoRR abs/0804.1302: (2008)
37		Francis Bach: Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning CoRR abs/0809.1493: (2008)
36		Laurent Jacob, Francis Bach, Jean-Philippe Vert: Clustered Multi-Task Learning: A Convex Formulation CoRR abs/0809.2085: (2008)
35		Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman: Supervised Dictionary Learning CoRR abs/0809.3083: (2008)
34		Francis Bach, Julien Mairal, Jean Ponce: Convex Sparse Matrix Factorizations CoRR abs/0812.1869: (2008)
33		Francis R. Bach: Consistency of Trace Norm Minimization. Journal of Machine Learning Research 9: 1019-1048 (2008)
32		Francis R. Bach: Consistency of the Group Lasso and Multiple Kernel Learning. Journal of Machine Learning Research 9: 1179-1225 (2008)
31		Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui: Optimal Solutions for Sparse Principal Component Analysis. Journal of Machine Learning Research 9: 1269-1294 (2008)
	2007
30		Zaïd Harchaoui, Francis Bach: Image Classification with Segmentation Graph Kernels. CVPR 2007
29		Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui: Full regularization path for sparse principal component analysis. ICML 2007: 177-184
28		Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
27		Francis Bach, Zaïd Harchaoui: DIFFRAC: a discriminative and flexible framework for clustering. NIPS 2007
26		Zaïd Harchaoui, Francis Bach, Eric Moulines: Testing for Homogeneity with Kernel Fisher Discriminant Analysis. NIPS 2007
25		Yoshihiro Yamanishi, Francis Bach, Jean-Philippe Vert: Glycan classification with tree kernels. Bioinformatics 23(10): 1211-1216 (2007)
24		Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui: Optimal Solutions for Sparse Principal Component Analysis CoRR abs/0707.0705: (2007)
23		Francis Bach: Consistency of the group Lasso and multiple kernel learning CoRR abs/0707.3390: (2007)
22		Francis Bach: Consistency of trace norm minimization CoRR abs/0710.2848: (2007)
21		Francis Bach: Graph kernels between point clouds CoRR abs/0712.3402: (2007)
20		Jérôme Louradour, Khalid Daoudi, Francis R. Bach: Feature Space Mahalanobis Sequence Kernels: Application to SVM Speaker Verification. IEEE Transactions on Audio, Speech & Language Processing 15(8): 2465-2475 (2007)
19		Kenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Consistency of Kernel Canonical Correlation Analysis. Journal of Machine Learning Research 8: 361-383 (2007)
	2006
18		Francis R. Bach: Active learning for misspecified generalized linear models. NIPS 2006: 65-72
17		Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert: Low-rank matrix factorization with attributes CoRR abs/cs/0611124: (2006)
16		Francis R. Bach, David Heckerman, Eric Horvitz: Considering Cost Asymmetry in Learning Classifiers. Journal of Machine Learning Research 7: 1713-1741 (2006)
15		Francis R. Bach, Michael I. Jordan: Learning Spectral Clustering, With Application To Speech Separation. Journal of Machine Learning Research 7: 1963-2001 (2006)
	2005
14		Francis R. Bach, Michael I. Jordan: Predictive low-rank decomposition for kernel methods. ICML 2005: 33-40
13		Kenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Convergence of Kernel CCA. NIPS 2005
	2004
12		Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan: Multiple kernel learning, conic duality, and the SMO algorithm. ICML 2004
11		Francis R. Bach, Michael I. Jordan: Blind One-microphone Speech Separation: A Spectral Learning Approach. NIPS 2004
10		Francis R. Bach, Romain Thibaux, Michael I. Jordan: Computing regularization paths for learning multiple kernels. NIPS 2004
9		Francis R. Bach, Michael I. Jordan: Learning graphical models for stationary time series. IEEE Transactions on Signal Processing 52(8): 2189-2199 (2004)
8		Kenji 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
7		Kenji Fukumizu, Francis R. Bach, Michael I. Jordan: Kernel Dimensionality Reduction for Supervised Learning. NIPS 2003
6		Francis R. Bach, Michael I. Jordan: Learning Spectral Clustering. NIPS 2003
5		Francis R. Bach, Michael I. Jordan: Beyond Independent Components: Trees and Clusters. Journal of Machine Learning Research 4: 1205-1233 (2003)
	2002
4		Francis 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
2		Francis R. Bach, Michael I. Jordan: Kernel Independent Component Analysis. Journal of Machine Learning Research 3: 1-48 (2002)
	2001
1		Francis R. Bach, Michael I. Jordan: Thin Junction Trees. NIPS 2001: 569-576

Coauthor Index

1	Jacob Abernethy	[17] [39] [51]
2	Pierre-Antoine Absil	[64]
3	Selin Damla Ahipasaoglu	[71]
4	Cédric Archambeau	[42]
5	Sylvain Arlot	[58]
6	Jean-Yves Audibert	[82]
7	Louise Benoît	[89] [105]
8	David M. Blei	[73]
9	Guillaume Bouchard	[59]
10	Y-Lan Boureau	[79] [103]
11	Stéphane Canu	[28]
12	Florent Couzinie-Devy	[90]
13	Khalid Daoudi	[20]
14	Inderjit S. Dhillon	[81]
15	Olivier Duchenne	[62] [63] [85]
16	Theodoros Evgeniou	[17] [39] [51]
17	Cédric Févotte	[97] [104]
18	Kenji Fukumizu	[7] [8] [13] [19]
19	Laurent El Ghaoui	[24] [29] [31]
20	Yves Grandvalet	[28]
21	Edouard Grave	[93] [99]
22	Arthur Gretton	[13] [19]
23	Zaïd Harchaoui	[26] [27] [30] [43]
24	Martial Hebert	[49]
25	David Heckerman	[16]
26	Toby Hocking	[102]
27	Matthew D. Hoffman	[73]
28	Eric Horvitz	[16]
29	Laurent Jacob	[36] [41]
30	Rodolphe Jenatton	[65] [69] [74] [77] [82] [83] [84] [88] [92] [95] [96] [107]
31	Michael I. Jordan	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [14] [15] [59]
32	Armand Joulin	[76] [80] [102]
33	Michel Journée	[64]
34	Hachem Kadri	[109]
35	In-So Kweon	[63] [85]
36	Simon Lacoste-Julien	[108]
37	Gert R. G. Lanckriet	[12]
38	Ivan Laptev	[62]
39	Yann LeCun	[79] [103]
40	Augustin Lefevre	[97] [104]
41	Marius Leordeanu	[49]
42	Percy Liang	[59]
43	Jérôme Louradour	[20]
44	Julien Mairal	[34] [35] [45] [49] [50] [55] [60] [61] [66] [69] [74] [77] [83] [84] [88] [89] [90] [92] [95] [96] [105] [106] [107]
45	Gilles Meyer	[86]
46	B. Mishra	[86]
47	Eric Moulines	[26] [43] [98]
48	Guillaume Obozinski	[65] [69] [74] [77] [83] [84] [88] [92] [93] [95] [96] [99] [107] [108]
49	Jean Ponce	[34] [35] [45] [49] [50] [55] [60] [61] [62] [63] [66] [76] [79] [80] [85] [89] [90] [103] [105] [106]
50	Philippe Preux	[109]
51	Alain Rakotomamonjy	[28] [109]
52	Nicolas Le Roux	[91] [94] [100] [103] [110]
53	Guillermo Sapiro	[35] [45] [50] [55] [60] [61] [66]
54	Mark Schmidt	[91] [100] [110]
55	Rodolphe Sepulchre	[64] [86]
56	Josef Sivic	[62]
57	Romain Thibaux	[10]
58	Jean-Philippe Vert	[17] [25] [36] [39] [40] [41] [48] [51] [52] [57] [72] [78] [102]
59	Yoshihiro Yamanishi	[25]
60	Bin Yu	[81]
61	Mikhail Zaslavskiy	[40] [48] [52] [57] [72] [78]
62	Andrew Zisserman	[35] [45] [50] [61]
63	Alexandre d'Aspremont	[24] [29] [31] [71] [81]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page