Jean‐Philippe Vert

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All published works

Action	Title	Year	Authors
+ PDF Chat	Regression as Classification: Influence of Task Formulation on Neural Network Features	2022	Lawrence Stewart Francis Bach Quentin Berthet Jean‐Philippe Vert
+ PDF Chat	Scaling ResNets in the Large-depth Regime	2022	Pierre Marion Adeline Fermanian Gérard Biau Jean‐Philippe Vert
+	Scaling ResNets in the Large-depth Regime	2022	Pierre Marion Adeline Fermanian Gérard Biau Jean‐Philippe Vert
+	Regression as Classification: Influence of Task Formulation on Neural Network Features	2022	Lawrence Stewart Francis Bach Quentin Berthet Jean‐Philippe Vert
+	Efficient and Modular Implicit Differentiation.	2021	Mathieu Blondel Quentin Berthet Marco Cuturi Roy Frostig Stephan Hoyer Felipe Llinares-López Fabian Pedregosa Jean‐Philippe Vert
+	Framing RNN as a kernel method: A neural ODE approach	2021	Adeline Fermanian Pierre Marion Jean‐Philippe Vert Gérard Biau
+	Efficient and Modular Implicit Differentiation	2021	Mathieu Blondel Quentin Berthet Marco Cuturi Roy Frostig Stephan Hoyer Felipe Llinares-López Fabian Pedregosa Jean‐Philippe Vert
+ PDF Chat	Causal inference methods for combining randomized trials and observational studies: a review	2020	Bénédicte Colnet Imke Mayer Guanhua Chen Awa Dieng Ruohong Li Gaël Varoquaux Jean‐Philippe Vert Julie Josse Shu Yang
+	On Mixup Regularization	2020	Luigi Carratino Moustapha Cissé Rodolphe Jenatton Jean‐Philippe Vert
+	Learning with differentiable perturbed optimizers	2020	Quentin Berthet Mathieu Blondel Olivier Teboul Marco Cuturi Jean‐Philippe Vert Francis Bach
+	Supervised Quantile Normalization for Low-rank Matrix Approximation	2020	Marco Cuturi Olivier Teboul Jonathan Niles‐Weed Jean‐Philippe Vert
+	Learning with Differentiable Perturbed Optimizers	2020	Quentin Berthet Mathieu Blondel Olivier Teboul Marco Cuturi Jean‐Philippe Vert Francis Bach
+	Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design	2020	Marco Cuturi Olivier Teboul Jean‐Philippe Vert
+	Differentiable Divergences Between Time Series	2020	Mathieu Blondel Arthur Mensch Jean‐Philippe Vert
+	MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models	2020	Imke Mayer Julie Josse Félix Raimundo Jean‐Philippe Vert
+	On Mixup Regularization	2020	Luigi Carratino Moustapha Cissé Rodolphe Jenatton Jean‐Philippe Vert
+	Differentiable Deep Clustering with Cluster Size Constraints	2019	Aude Genevay Gabriel Dulac-Arnold Jean‐Philippe Vert
+ PDF Chat	kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection	2019	Lotfi Slim Clément Chatelain Chloé‐Agathe Azencott Jean‐Philippe Vert
+	Deep Multiclass Learning from Label Proportions	2019	Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean‐Philippe Vert
+	Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator	2019	Marco Cuturi Olivier Teboul Jean‐Philippe Vert
+	Differentiable Ranks and Sorting using Optimal Transport	2019	Marco Cuturi Olivier Teboul Jean‐Philippe Vert
+	Differentiable Deep Clustering with Cluster Size Constraints	2019	Aude Genevay Gabriel Dulac-Arnold Jean‐Philippe Vert
+	ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks	2019	Beyrem Khalfaoui J. T. Boyd Jean‐Philippe Vert
+	Deep multi-class learning from label proportions	2019	Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean‐Philippe Vert
+	Differentiable Ranks and Sorting using Optimal Transport	2019	Marco Cuturi Olivier Teboul Jean‐Philippe Vert
+	WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models	2018	Marine Le Morvan Jean‐Philippe Vert
+	DropLasso: A robust variant of Lasso for single cell RNA-seq data	2018	Beyrem Khalfaoui Jean‐Philippe Vert
+	Relating Leverage Scores and Density using Regularized Christoffel Functions	2018	Edouard Pauwels Francis R. Bach Jean‐Philippe Vert
+	The Weighted Kendall and High-order Kernels for Permutations	2018	Yunlong Jiao Jean‐Philippe Vert
+ PDF Chat	Supervised Quantile Normalisation	2017	Marine Le Morvan Jean‐Philippe Vert
+	Supervised Quantile Normalisation	2017	Marine Le Morvan Jean‐Philippe Vert
+ PDF Chat	Large-scale machine learning for metagenomics sequence classification	2015	Kévin Vervier Pierre Mahé Maud Tournoud Jean‐Baptiste Veyrieras Jean‐Philippe Vert
+	Consistency of random forests	2015	Erwan Scornet Gérard Biau Jean‐Philippe Vert
+	Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data	2015	Kévin Vervier Pierre Mahé Jean‐Baptiste Veyrieras Jean‐Philippe Vert
+	New matrix norms for structured matrix estimation	2014	Jean‐Philippe Vert
+	Tight convex relaxations for sparse matrix factorization	2014	Émile Richard Guillaume Obozinski Jean‐Philippe Vert
+ PDF Chat	A bagging SVM to learn from positive and unlabeled examples	2013	Fantine Mordelet Jean‐Philippe Vert
+ PDF Chat	Intersecting singularities for multi-structured estimation	2013	Émile Richard Francis Bach Jean‐Philippe Vert
+ PDF Chat	TIGRESS: Trustful Inference of Gene REgulation using Stability Selection	2012	Anne-Claire Haury Fantine Mordelet Paola Vera‐Licona Jean‐Philippe Vert
+	TIGRESS: Trustful Inference of Gene REgulation using Stability Selection	2012	Anne-Claire Haury Fantine Mordelet Paola Vera‐Licona Jean‐Philippe Vert
+	TIGRESS: Trustful Inference of Gene REgulation using Stability Selection	2012	Anne-Claire Haury Fantine Mordelet Paola Vera‐Licona Jean‐Philippe Vert
+ PDF Chat	The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures	2011	Anne-Claire Haury Pierre Gestraud Jean‐Philippe Vert
+ PDF Chat	ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples	2011	Fantine Mordelet Jean‐Philippe Vert
+ PDF Chat	Analysis of the impact degree distribution in metabolic networks using branching process approximation	2011	Kazuhiro Takemoto Takeyuki Tamura Yang Cong Wai‐Ki Ching Jean‐Philippe Vert Tatsuya Akutsu
+ PDF Chat	Clusterpath An Algorithm for Clustering using Convex Fusion Penalties	2011	Toby Dylan Hocking Armand Joulin Francis Bach Jean‐Philippe Vert
+	The group fused Lasso for multiple change-point detection	2011	Kevin Bleakley Jean‐Philippe Vert
+	Group Lasso with Overlaps: the Latent Group Lasso approach	2011	Guillaume Obozinski Laurent Jacob Jean‐Philippe Vert
+	ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples	2011	Fantine Mordelet Jean‐Philippe Vert
+	A bagging SVM to learn from positive and unlabeled examples	2010	Fantine Mordelet Jean‐Philippe Vert
+ PDF Chat	A bagging SVM to learn from positive and unlabeled examples	2010	Fantine Mordelet Jean‐Philippe Vert
+ PDF Chat	Reconstruction of Biological Networks by Supervised Machine Learning Approaches	2010	Jean‐Philippe Vert
+	Increasing stability and interpretability of gene expression signatures	2010	Anne-Claire Haury Laurent Jacob Jean‐Philippe Vert
+ PDF Chat	Many-to-Many Graph Matching: A Continuous Relaxation Approach	2010	Mikhail Zaslavskiy Francis Bach Jean‐Philippe Vert
+	Group lasso with overlap and graph lasso	2009	Laurent Jacob Guillaume Obozinski Jean‐Philippe Vert
+ PDF Chat	Global alignment of protein–protein interaction networks by graph matching methods	2009	Mikhail Zaslavskiy Francis Bach Jean‐Philippe Vert
+	Global alignment of protein-protein interaction networks by graph matching methods	2009	Mikhail Zaslavskiy Francis Bach Jean‐Philippe Vert
+ PDF Chat	Virtual screening with support vector machines and structure kernels.	2009	Pierre Mahé Jean‐Philippe Vert
+ PDF Chat	Virtual Screening with Support Vector Machines and Structure Kernels	2009	Pierre Mahé Jean‐Philippe Vert
+	Joint segmentation of many aCGH profiles using fast group LARS	2009	Kevin Bleakley Jean‐Philippe Vert
+	A new protein binding pocket similarity measure based on comparison of 3D atom clouds: application to ligand prediction	2009	Brice Hoffmann Mikhail Zaslavskiy Jean‐Philippe Vert Véronique Stoven
+ PDF Chat	A Path Following Algorithm for the Graph Matching Problem	2008	Mikhail Zaslavskiy Francis Bach Jean‐Philippe Vert
+ PDF Chat	Graph kernels based on tree patterns for molecules	2008	Pierre Mahé Jean‐Philippe Vert
+ PDF Chat	Virtual screening of GPCRs: An in silico chemogenomics approach	2008	Laurent Jacob Brice Hoffmann Véronique Stoven Jean‐Philippe Vert
+ PDF Chat	SIRENE: supervised inference of regulatory networks	2008	Fantine Mordelet Jean‐Philippe Vert
+ PDF Chat	Classification of arrayCGH data using fused SVM	2008	Franck Rapaport Emmanuel Barillot Jean‐Philippe Vert
+	The optimal assignment kernel is not positive definite	2008	Jean‐Philippe Vert
+	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization	2008	Jacob Abernethy Francis Bach Theodoros Evgeniou Jean‐Philippe Vert
+	FAST DETECTION OF MULTIPLE CHANGE-POINTS SHARED BY MANY SIGNALS	2008	Jean‐Philippe Vert Kevin Bleakley
+	Clustered Multi-Task Learning: A Convex Formulation	2008	Laurent Jacob Francis Bach Jean‐Philippe Vert
+	Virtual screening of GPCRs: an in silico chemogenomics approach	2008	Laurent Jacob Brice Hoffmann Véronique Stoven Jean‐Philippe Vert
+	Classification of arrayCGH data using a fused SVM	2008	Franck Rapaport Emmanuel Barillot Jean‐Philippe Vert
+ PDF Chat	A Kernel for Time Series Based on Global Alignments	2007	Marco Cuturi Jean‐Philippe Vert Øystein Birkenes Tomoko Matsui
+ PDF Chat	Kernel matrix regression	2007	Yoshihiro Yamanishi Jean‐Philippe Vert
+	Kernel methods for in silico chemogenomics	2007	Laurent Jacob Jean‐Philippe Vert
+ PDF Chat	Kernel Methods in Genomics and Computational Biology	2007	Jean‐Philippe Vert
+	Epitope prediction improved by multitask support vector machines	2007	Laurent Jacob Jean‐Philippe Vert
+	Kernel matrix regression	2007	Yoshihiro Yamanishi Jean‐Philippe Vert
+	Consistency and Convergence Rates of One-Class SVMs and Related Algorithms	2006	Régis Vert Jean‐Philippe Vert
+	Graph kernels based on tree patterns for molecules	2006	Pierre Mahé Jean‐Philippe Vert
+ PDF Chat	The Pharmacophore Kernel for Virtual Screening with Support Vector Machines	2006	Pierre Mahé Liva Ralaivola Véronique Stoven Jean‐Philippe Vert
+	Low-rank matrix factorization with attributes	2006	Jacob Abernethy Francis Bach Theodoros Evgeniou Jean‐Philippe Vert
+	Spectral analysis of gene expression profiles using gene networks	2006	Franck Rapaport Andreï Zinovyev Marie Dutreix Emmanuel Barillot Jean‐Philippe Vert
+	Metric learning pairwise kernel for graph inference	2006	Jean‐Philippe Vert Jian‐Wen Qiu William Stafford Noble
+	The pharmacophore kernel for virtual screening with support vector machines	2006	Pierre Mahé Liva Ralaivola Véronique Stoven Jean‐Philippe Vert
+	Graph kernels based on tree patterns for molecules	2006	Pierre Mahé Jean‐Philippe Vert
+	Consistency of one-class SVM and related algorithms	2005	Régis Vert Jean‐Philippe Vert
+ PDF Chat	A mutual information kernel for sequences	2005	Marco Cuturi Jean‐Philippe Vert
+	Kernel methods in genomics and computational biology	2005	Jean‐Philippe Vert
+ PDF Chat	A covariance kernel for proteins	2003	Marco Cuturi Jean‐Philippe Vert
+	Graph-driven features extraction from microarray data	2002	Jean‐Philippe Vert Minoru Kanehisa

Common Coauthors

Coauthor	Papers Together
Marco Cuturi	14
Francis Bach	9
Pierre Mahé	9
Fantine Mordelet	9
Laurent Jacob	8
Olivier Teboul	7
Quentin Berthet	6
Mikhail Zaslavskiy	5
Véronique Stoven	5
Mathieu Blondel	5
Anne-Claire Haury	5
Gabriel Dulac-Arnold	4
Adeline Fermanian	3
Emmanuel Barillot	3
Brice Hoffmann	3
Paola Vera‐Licona	3
Guillaume Obozinski	3
Marine Le Morvan	3
Gérard Biau	3
Francis Bach	3
Kevin Bleakley	3
Régis Vert	2
Rodolphe Jenatton	2
Liva Ralaivola	2
Aude Genevay	2
Imke Mayer	2
Jean‐Baptiste Veyrieras	2
Neil Zeghidour	2
Stephan Hoyer	2
Pierre Marion	2
Émile Richard	2
Theodoros Evgeniou	2
Fabian Pedregosa	2
Lawrence Stewart	2
Kévin Vervier	2
Felipe Llinares-López	2
Roy Frostig	2
Franck Rapaport	2
Jacob Abernethy	2
Moustapha Cissé	2
Lucas Beyer	2
Beyrem Khalfaoui	2
Yoshihiro Yamanishi	2
Luigi Carratino	2
Julie Josse	2
Chloé‐Agathe Azencott	1
Awa Dieng	1
Kazuhiro Takemoto	1
Tatsuya Akutsu	1
Tomoko Matsui	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	12
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	8
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	7
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	7
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	5
+ PDF Chat	The Pharmacophore Kernel for Virtual Screening with Support Vector Machines	2006	Pierre Mahé Liva Ralaivola Véronique Stoven Jean‐Philippe Vert	4
+ PDF Chat	Computational Optimal Transport	2019	Gabriel Peyré Marco Cuturi	4
+ PDF Chat	ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context	2006	Adam A. Margolin Ilya Nemenman Katia Basso Chris H. Wiggins Gustavo Stolovitzky Riccardo Dalla Favera Andrea Califano	4
+	Group lasso with overlap and graph lasso	2009	Laurent Jacob Guillaume Obozinski Jean‐Philippe Vert	4
+	Sparseness of support vector machines	2003	Ingo Steinwart	4
+ PDF Chat	SIRENE: supervised inference of regulatory networks	2008	Fantine Mordelet Jean‐Philippe Vert	4
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	4
+ PDF Chat	Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results	2004	Peter L. Bartlett Ambuj Tewari	3
+ PDF Chat	The Convex Geometry of Linear Inverse Problems	2012	Venkat Chandrasekaran Benjamin Recht Pablo A. Parrilo Alan S. Willsky	3
+ PDF Chat	Multiple kernel learning, conic duality, and the SMO algorithm	2004	Francis Bach Gert Lanckriet Michael I. Jordan	3
+	Low-rank matrix factorization with attributes	2006	Jacob Abernethy Francis Bach Theodoros Evgeniou Jean‐Philippe Vert	3
+	Consistency of the group Lasso and multiple kernel learning	2007	Francis Bach	3
+	Optimal Transport for Applied Mathematicians : Calculus of Variations, PDEs, and Modeling	2015	Filippo Santambrogio	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Ranking via Sinkhorn Propagation	2011	Ryan P. Adams Richard S. Zemel	3
+	Catching Change-points with Lasso	2007	Céline Lévy‐Leduc Zaïd Harchaoui	3
+	Spline Models for Observational Data.	1991	Hans‐Georg Müller Grace Wahba	2
+	Consistency and Convergence Rates of One-Class SVMs and Related Algorithms	2006	Régis Vert Jean‐Philippe Vert	2
+	Principal Component Analysis	1988	Colin Goodall Ian T. Jolliffe	2
+	Proximal Methods for Hierarchical Sparse Coding	2010	Rodolphe Jenatton Julien Mairal Guillaume Obozinski Francis Bach	2
+	Spectral Graph Theory	1996	Fan Chung	2
+ PDF Chat	Computational and statistical tradeoffs via convex relaxation	2013	Venkat Chandrasekaran Michael I. Jordan	2
+	Twice Differentiable Spectral Functions	2001	Adrian S. Lewis Hristo S. Sendov	2
+ PDF Chat	The Group Lasso for Logistic Regression	2008	Lukas Meier Sara van de Geer Peter Bühlmann	2
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	2
+	Structured Variable Selection with Sparsity-Inducing Norms	2011	Rodolphe Jenatton Jean-Yves Audibert Francis Bach	2
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	2
+ PDF Chat	On nonparametric estimation of density level sets	1997	A. B. Tsybakov	2
+ PDF Chat	Localized Rademacher Complexities	2002	Peter L. Bartlett Olivier Bousquet Shahar Mendelson	2
+	Smooth discrimination analysis	1999	Enno Mammen Alexandre B. Tsybakov	2
+	Some applications of Laplace eigenvalues of graphs	1997	Bojan Mohar	2
+	Sharp thresholds for high-dimensional and noisy recovery of sparsity	2006	Martin J. Wainwright	2
+	Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning	2008	Francis Bach	2
+ PDF Chat	On the Estimation of a Probability Density Function by the Maximum Penalized Likelihood Method	1982	Bernard W. Silverman	2
+ PDF Chat	Local Matching Indicators for Transport Problems with Concave Costs	2012	Julie Delon Julien Salomon Andreĭ Sobolevskiĭ	2
+ PDF Chat	An Improved Algorithm for Discrete $l_1 $ Linear Approximation	1973	I. Barrodale F. D. K. Roberts	2
+	A Probabilistic Theory of Pattern Recognition	1996	Luc Devroye László Györfi Gábor Lugosi	2
+	Cross-species analysis of biological networks by Bayesian alignment	2006	Johannes Berg Michael Lässig	2
+	On the scaling of multidimensional matrices	1989	Joel Franklin Jens Lorenz	2
+	Harmonic Analysis on Semigroups	1984	Christian Berg Jens Peter Christensen Paul Ressel	2
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	2
+ PDF Chat	An interior point algorithm for nonlinear quantile regression	1996	Roger Koenker Beum J. Park	2
+	Fast Computation of Wasserstein Barycenters	2014	Marco Cuturi Arnaud Doucet	2
+ PDF Chat	Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices	2015	Samet Oymak Amin Jalali Maryam Fazel Yonina C. Eldar Babak Hassibi	2
+	The Group-Lasso for generalized linear models	2008	Volker Röth Bernd Fischer	2