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Jean-Philippe Vert

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affiliation: PSL University, France

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2023
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Nelle Varoquaux, William S. Noble, Jean-Philippe Vert:
Inference of 3D genome architecture by modeling overdispersion of Hi-C data. Bioinform. 39(1) (2023)
2022
[j45]
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Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning. J. Comput. Biol. 29(11): 1198-1212 (2022)
[j44]
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Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert:
On Mixup Regularization. J. Mach. Learn. Res. 23: 325:1-325:31 (2022)
2020
[j43]
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Pierre-Cyril Aubin-Frankowski, Jean-Philippe Vert:
Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference. Bioinform. 36(18): 4774-4780 (2020)
2019
[j42]
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Romain Menegaux, Jean-Philippe Vert:
Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics. J. Comput. Biol. 26(6): 509-518 (2019)
[j41]
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Olivier Collier, Véronique Stoven, Jean-Philippe Vert:
LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes. PLoS Comput. Biol. 15(9) (2019)
2018
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Peiying Ruan, Morihiro Hayashida, Tatsuya Akutsu, Jean-Philippe Vert:
Improving prediction of heterodimeric protein complexes using combination with pairwise kernel. BMC Bioinform. 19-S(1): 73-84 (2018)
[j39]
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Nicolas Servant, Nelle Varoquaux, Edith Heard, Emmanuel Barillot, Jean-Philippe Vert:
Effective normalization for copy number variation in Hi-C data. BMC Bioinform. 19(1): 313:1-313:16 (2018)
[j38]
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Yunlong Jiao, Jean-Philippe Vert:
The Kendall and Mallows Kernels for Permutations. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1755-1769 (2018)
2017
[j37]
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Marine Le Morvan, Andrei Yu. Zinovyev, Jean-Philippe Vert:
NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. PLoS Comput. Biol. 13(6) (2017)
2016
[j36]
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Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale machine learning for metagenomics sequence classification. Bioinform. 32(7): 1023-1032 (2016)
2015
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Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter:
A generic methodological framework for studying single cell motility in high-throughput time-lapse data. Bioinform. 31(12): 320-328 (2015)
[j34]
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Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert:
A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinform. 16: 262:1-262:10 (2015)
2014
[j33]
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Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert:
SegAnnDB: interactive Web-based genomic segmentation. Bioinform. 30(11): 1539-1546 (2014)
[j32]
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Nelle Varoquaux, Ferhat Ay, William Stafford Noble, Jean-Philippe Vert:
A statistical approach for inferring the 3D structure of the genome. Bioinform. 30(12): 26-33 (2014)
[j31]
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Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert:
Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. Bioinform. 30(17): 2447-2455 (2014)
[j30]
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  - journals/bmcsb/PauwelsLV18
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Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert:
A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Syst. Biol. 8(1): 102:1-102:11 (2014)
[j29]
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Fantine Mordelet, Jean-Philippe Vert:
A bagging SVM to learn from positive and unlabeled examples. Pattern Recognit. Lett. 37: 201-209 (2014)
2013
[j28]
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Yang Zhao, Takeyuki Tamura, Tatsuya Akutsu, Jean-Philippe Vert:
Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks. Bioinform. 29(17): 2178-2185 (2013)
[j27]
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Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo, Olivier Delattre, Francis R. Bach, Jean-Philippe Vert:
Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinform. 14: 164 (2013)
2012
[j26]
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Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona, Jean-Philippe Vert:
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection. BMC Syst. Biol. 6: 145 (2012)
2011
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Valentina Boeva, Andrei Yu. Zinovyev, Kevin Bleakley, Jean-Philippe Vert, Isabelle Janoueix-Lerosey, Olivier Delattre, Emmanuel Barillot:
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinform. 27(2): 268-269 (2011)
[j24]
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Fantine Mordelet, Jean-Philippe Vert:
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples. BMC Bioinform. 12: 389 (2011)
2010
[j23]
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Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, Véronique Stoven:
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction. BMC Bioinform. 11: 99 (2010)
[j22]
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Martial Hue, Michael Riffle, Jean-Philippe Vert, William Stafford Noble:
Large-scale prediction of protein-protein interactions from structures. BMC Bioinform. 11: 144 (2010)
2009
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Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Global alignment of protein-protein interaction networks by graph matching methods. Bioinform. 25(12) (2009)
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Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. 10: 803-826 (2009)
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Pierre Mahé, Jean-Philippe Vert:
Graph kernels based on tree patterns for molecules. Mach. Learn. 75(1): 3-35 (2009)
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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)
2008
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Laurent Jacob, Jean-Philippe Vert:
Efficient peptide-MHC-I binding prediction for alleles with few known binders. Bioinform. 24(3): 358-366 (2008)
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Laurent Jacob, Jean-Philippe Vert:
Protein-ligand interaction prediction: an improved chemogenomics approach. Bioinform. 24(19): 2149-2156 (2008)
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Laurent Jacob, Brice Hoffmann, Véronique Stoven, Jean-Philippe Vert:
Virtual screening of GPCRs: An in silico chemogenomics approach. BMC Bioinform. 9 (2008)
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Jacob D. Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert:
Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. 20(2): 145-155 (2008)
2007
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Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert, William Stafford Noble:
A structural alignment kernel for protein structures. Bioinform. 23(9): 1090-1098 (2007)
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Yoshihiro Yamanishi, Francis R. Bach, Jean-Philippe Vert:
Glycan classification with tree kernels. Bioinform. 23(10): 1211-1216 (2007)
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Franck Rapaport, Andrei Yu. Zinovyev, Marie Dutreix, Emmanuel Barillot, Jean-Philippe Vert:
Classification of microarray data using gene networks. BMC Bioinform. 8 (2007)
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Jean-Philippe Vert, Jian Qiu, William Stafford Noble:
A new pairwise kernel for biological network inference with support vector machines. BMC Bioinform. 8(S-10) (2007)
2006
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Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu:
Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinform. 7: 246 (2006)
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Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck:
An accurate and interpretable model for siRNA efficacy prediction. BMC Bioinform. 7: 520 (2006)
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Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert:
The Pharmacophore Kernel for Virtual Screening with Support Vector Machines. J. Chem. Inf. Model. 46(5): 2003-2014 (2006)
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Régis Vert, Jean-Philippe Vert:
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms. J. Mach. Learn. Res. 7: 817-854 (2006)
2005
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Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. J. Chem. Inf. Model. 45(4): 939-951 (2005)
[j4]
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Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert:
Semigroup Kernels on Measures. J. Mach. Learn. Res. 6: 1169-1198 (2005)
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Marco Cuturi, Jean-Philippe Vert:
The context-tree kernel for strings. Neural Networks 18(8): 1111-1123 (2005)
2004
[j2]
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Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu:
Protein homology detection using string alignment kernels. Bioinform. 20(11): 1682-1689 (2004)
2001
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Jean-Philippe Vert:
Adaptive context trees and text clustering. IEEE Trans. Inf. Theory 47(5): 1884-1901 (2001)

Conference and Workshop Papers

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2023
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Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert:
Regression as Classification: Influence of Task Formulation on Neural Network Features. AISTATS 2023: 11563-11582
2022
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Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. NeurIPS 2022
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Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Semi-supervised Single-Cell Cross-modality Translation Using Polarbear. RECOMB 2022: 20-35
2021
[c47]
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Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert:
Differentiable Divergences Between Time Series. AISTATS 2021: 3853-3861
[c46]
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Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. NeurIPS 2021: 3121-3134
[c45]
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Vincent Mallet, Jean-Philippe Vert:
Reverse-Complement Equivariant Networks for DNA Sequences. NeurIPS 2021: 13511-13523
2020
[c44]
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Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML 2020: 2269-2279
[c43]
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Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Pertubed Optimizers. NeurIPS 2020
2019
[c42]
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Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert:
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection. ICML 2019: 5857-5865
[c41]
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Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Ranking and Sorting using Optimal Transport. NeurIPS 2019: 6858-6868
[c40]
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Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble:
Jointly Embedding Multiple Single-Cell Omics Measurements. WABI 2019: 10:1-10:13
[c39]
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Alexandra Gesine Cauer, Gürkan Yardimci, Jean-Philippe Vert, Nelle Varoquaux, William Stafford Noble:
Inferring Diploid 3D Chromatin Structures from Hi-C Data. WABI 2019: 11:1-11:13
2018
[c38]
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Yunlong Jiao, Jean-Philippe Vert:
The Weighted Kendall and High-order Kernels for Permutations. ICML 2018: 2319-2327
[c37]
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Marine Le Morvan, Jean-Philippe Vert:
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. ICML 2018: 3632-3641
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Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert:
Relating Leverage Scores and Density using Regularized Christoffel Functions. NeurIPS 2018: 1670-1679
2015
[c35]
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Yunlong Jiao, Jean-Philippe Vert:
The Kendall and Mallows Kernels for Permutations. ICML 2015: 1935-1944
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Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter:
Infering an ontology of single cell motions from high-throughput microscopy data. ISBI 2015: 160-163
2014
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Emile Richard, Guillaume Obozinski, Jean-Philippe Vert:
Tight convex relaxations for sparse matrix factorization. NIPS 2014: 3284-3292
[c32]
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Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
On Learning Matrices with Orthogonal Columns or Disjoint Supports. ECML/PKDD (3) 2014: 274-289
2013
[c31]
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Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach:
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) 2013: 172-180
[c30]
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Emile Richard, Francis R. Bach, Jean-Philippe Vert:
Intersecting singularities for multi-structured estimation. ICML (3) 2013: 1157-1165
2011
[c29]
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Tomoko Matsui, Masataka Goto, Jean-Philippe Vert, Yuji Uchiyama:
Gradient-based musical feature extraction based on scale-invariant feature transform. EUSIPCO 2011: 724-728
[c28]
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Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin:
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML 2011: 745-752
2010
[c27]
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Martial Hue, Jean-Philippe Vert:
On learning with kernels for unordered pairs. ICML 2010: 463-470
[c26]
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Jean-Philippe Vert, Kevin Bleakley:
Fast detection of multiple change-points shared by many signals using group LARS. NIPS 2010: 2343-2351
[c25]
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Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Many-to-Many Graph Matching: A Continuous Relaxation Approach. ECML/PKDD (3) 2010: 515-530
2009
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Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh, Yuji Uchiyama:
High-level feature extraction using SVM with walk-based graph kernel. ICASSP 2009: 1121-1124
[c23]
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Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert:
Group lasso with overlap and graph lasso. ICML 2009: 433-440
[c22]
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Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont:
White Functionals for Anomaly Detection in Dynamical Systems. NIPS 2009: 432-440
2008
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Fantine Mordelet, Jean-Philippe Vert:
SIRENE: supervised inference of regulatory networks. ECCB 2008: 76-82
[c20]
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Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
A Path Following Algorithm for Graph Matching. ICISP 2008: 329-337
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Franck Rapaport, Emmanuel Barillot, Jean-Philippe Vert:
Classification of arrayCGH data using fused SVM. ISMB 2008: 375-382
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Laurent Jacob, Francis R. Bach, Jean-Philippe Vert:
Clustered Multi-Task Learning: A Convex Formulation. NIPS 2008: 745-752
[c17]
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Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh, Yuji Uchiyama:
ISM TRECVID2008 High-level Feature Extraction. TRECVID 2008
2007
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Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A Kernel for Time Series Based on Global Alignments. ICASSP (2) 2007: 413-416
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Kevin Bleakley, Gérard Biau, Jean-Philippe Vert:
Supervised reconstruction of biological networks with local models. ISMB/ECCB (Supplement of Bioinformatics) 2007: 57-65
2006
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Jean-Philippe Vert:
Classification of Biological Sequences with Kernel Methods. ICGI 2006: 7-18
2005
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Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa:
Supervised enzyme network inference from the integration of genomic data and chemical information. ISMB (Supplement of Bioinformatics) 2005: 468-477
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Jean-Philippe Vert, Robert E. Thurman, William Stafford Noble:
Kernels for gene regulatory regions. NIPS 2005: 1401-1408
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Régis Vert, Jean-Philippe Vert:
Consistency of one-class SVM and related algorithms. NIPS 2005: 1409-1416
2004
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Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert:
Extensions of marginalized graph kernels. ICML 2004
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Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa:
Protein network inference from multiple genomic data: a supervised approach. ISMB/ECCB (Supplement of Bioinformatics) 2004: 363-370
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Marco Cuturi, Jean-Philippe Vert:
Semigroup Kernels on Finite Sets. NIPS 2004: 329-336
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Jean-Philippe Vert, Yoshihiro Yamanishi:
Supervised Graph Inference. NIPS 2004: 1433-1440
2003
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Jean-Philippe Vert, Minoru Kanehisa:
Extracting active pathways from gene expression data. ECCB 2003: 238-244
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Yoshihiro Yamanishi, Jean-Philippe Vert, Akihiro Nakaya, Minoru Kanehisa:
Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. ISMB (Supplement of Bioinformatics) 2003: 323-330
2002
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Jean-Philippe Vert:
A tree kernel to analyse phylogenetic profiles. ISMB 2002: 276-284
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Jean-Philippe Vert, Minoru Kanehisa:
Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA. NIPS 2002: 1425-1432
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Jean-Philippe Vert:
Support Vector Machine Prediction of Signal Peptide Cleavage Site Using a New Class of Kernels for Strings. Pacific Symposium on Biocomputing 2002: 649-660
2001
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Jean-Philippe Vert:
Text Categorization Using Adaptive Context Trees. CICLing 2001: 423-436

Informal and Other Publications

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2022
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Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert:
Scaling ResNets in the Large-depth Regime. CoRR abs/2206.06929 (2022)
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Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert:
Regression as Classification: Influence of Task Formulation on Neural Network Features. CoRR abs/2211.05641 (2022)
2021
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Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. CoRR abs/2105.15183 (2021)
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Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. CoRR abs/2106.01202 (2021)
2020
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Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR abs/2002.03229 (2020)
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Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Perturbed Optimizers. CoRR abs/2002.08676 (2020)
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Imke Mayer, Julie Josse, Félix Raimundo, Jean-Philippe Vert:
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models. CoRR abs/2002.10837 (2020)
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Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. CoRR abs/2004.12508 (2020)
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Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert:
On Mixup Regularization. CoRR abs/2006.06049 (2020)
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Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert:
Differentiable Divergences Between Time Series. CoRR abs/2010.08354 (2020)
2019
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Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. CoRR abs/1905.11885 (2019)
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Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert:
Deep multi-class learning from label proportions. CoRR abs/1905.12909 (2019)
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Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert:
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks. CoRR abs/1909.09819 (2019)
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Aude Genevay, Gabriel Dulac-Arnold, Jean-Philippe Vert:
Differentiable Deep Clustering with Cluster Size Constraints. CoRR abs/1910.09036 (2019)
2018
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Marine Le Morvan, Jean-Philippe Vert:
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. CoRR abs/1802.05980 (2018)
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Yunlong Jiao, Jean-Philippe Vert:
The Weighted Kendall and High-order Kernels for Permutations. CoRR abs/1802.08526 (2018)
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Beyrem Khalfaoui, Jean-Philippe Vert:
DropLasso: A robust variant of Lasso for single cell RNA-seq data. CoRR abs/1802.09381 (2018)
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Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert:
Relating Leverage Scores and Density using Regularized Christoffel Functions. CoRR abs/1805.07943 (2018)
2017
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Marine Le Morvan, Jean-Philippe Vert:
Supervised Quantile Normalisation. CoRR abs/1706.00244 (2017)
2015
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Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Large-scale Machine Learning for Metagenomics Sequence Classification. CoRR abs/1505.06915 (2015)
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Kevin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data. CoRR abs/1506.07251 (2015)
2014
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Emile Richard, Guillaume Obozinski, Jean-Philippe Vert:
Tight convex relaxations for sparse matrix factorization. CoRR abs/1407.5158 (2014)
2011
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Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert:
Group Lasso with Overlaps: the Latent Group Lasso approach. CoRR abs/1110.0413 (2011)
2010
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Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Many-to-Many Graph Matching: a Continuous Relaxation Approach. CoRR abs/1004.4965 (2010)
2008
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Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert:
Path following algorithm for the graph matching problem. CoRR abs/0801.3654 (2008)
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Jean-Philippe Vert:
The optimal assignment kernel is not positive definite. CoRR abs/0801.4061 (2008)
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Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. CoRR abs/0802.1430 (2008)
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Laurent Jacob, Francis R. Bach, Jean-Philippe Vert:
Clustered Multi-Task Learning: A Convex Formulation. CoRR abs/0809.2085 (2008)
2007
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Pierre Mahé, Jean-Philippe Vert:
Virtual screening with support vector machines and structure kernels. CoRR abs/0708.0171 (2007)
2006
[i3]
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  - journals/corr/abs-cs-0610033
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Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A kernel for time series based on global alignments. CoRR abs/cs/0610033 (2006)
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Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
Low-rank matrix factorization with attributes. CoRR abs/cs/0611124 (2006)
[i1]
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Jean-Philippe Vert, Jian Qiu, William Stafford Noble:
Metric learning pairwise kernel for graph inference. CoRR abs/q-bio/0610040 (2006)

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