Vert, Jean-Philippe

36 publications

JMLR 2025 Scaling ResNets in the Large-Depth Regime Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
AISTATS 2023 Regression as Classification: Influence of Task Formulation on Neural Network Features Lawrence Stewart, Francis Bach, Quentin Berthet, Jean-Philippe Vert
NeurIPS 2022 Efficient and Modular Implicit Differentiation Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-Lopez, Fabian Pedregosa, Jean-Philippe Vert
JMLR 2022 On Mixup Regularization Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
AISTATS 2021 Differentiable Divergences Between Time Series Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert
NeurIPS 2021 Framing RNN as a Kernel Method: A Neural ODE Approach Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
NeurIPS 2021 Reverse-Complement Equivariant Networks for DNA Sequences Vincent Mallet, Jean-Philippe Vert
NeurIPS 2020 Learning with Differentiable Pertubed Optimizers Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
ICML 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
NeurIPS 2019 Differentiable Ranking and Sorting Using Optimal Transport Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
ICML 2019 kernelPSI: A Post-Selection Inference Framework for Nonlinear Variable Selection Lotfi Slim, Clément Chatelain, Chloe-Agathe Azencott, Jean-Philippe Vert
NeurIPS 2018 Relating Leverage Scores and Density Using Regularized Christoffel Functions Edouard Pauwels, Francis Bach, Jean-Philippe Vert
ICML 2018 The Weighted Kendall and High-Order Kernels for Permutations Yunlong Jiao, Jean-Philippe Vert
ICML 2018 WHInter: A Working Set Algorithm for High-Dimensional Sparse Second Order Interaction Models Marine Le Morvan, Jean-Philippe Vert
ICML 2015 The Kendall and Mallows Kernels for Permutations Yunlong Jiao, Jean-Philippe Vert
ECML-PKDD 2014 On Learning Matrices with Orthogonal Columns or Disjoint Supports Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert
NeurIPS 2014 Tight Convex Relaxations for Sparse Matrix Factorization Emile Richard, Guillaume R. Obozinski, Jean-Philippe Vert
ICML 2013 Intersecting Singularities for Multi-Structured Estimation Emile Richard, Francis Bach, Jean-Philippe Vert
ICML 2013 Learning Sparse Penalties for Change-Point Detection Using Max Margin Interval Regression Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis Bach
ICML 2011 Clusterpath: An Algorithm for Clustering Using Convex Fusion Penalties Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin
NeurIPS 2010 Fast Detection of Multiple Change-Points Shared by Many Signals Using Group LARS Jean-philippe Vert, Kevin Bleakley
ECML-PKDD 2010 Many-to-Many Graph Matching: A Continuous Relaxation Approach Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
ICML 2010 On Learning with Kernels for Unordered Pairs Martial Hue, Jean-Philippe Vert
JMLR 2009 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert
MLJ 2009 Graph Kernels Based on Tree Patterns for Molecules Pierre Mahé, Jean-Philippe Vert
ICML 2009 Group Lasso with Overlap and Graph Lasso Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert
NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems Marco Cuturi, Jean-philippe Vert, Alexandre D'aspremont
NeurIPS 2008 Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob, Jean-philippe Vert, Francis R. Bach
JMLR 2006 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms Régis Vert, Jean-Philippe Vert
NeurIPS 2005 Consistency of One-Class SVM and Related Algorithms Régis Vert, Jean-philippe Vert
NeurIPS 2005 Kernels for Gene Regulatory Regions Jean-philippe Vert, Robert Thurman, William S. Noble
JMLR 2005 Semigroup Kernels on Measures Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
ICML 2004 Extensions of Marginalized Graph Kernels Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert
NeurIPS 2004 Semigroup Kernels on Finite Sets Marco Cuturi, Jean-philippe Vert
NeurIPS 2004 Supervised Graph Inference Jean-philippe Vert, Yoshihiro Yamanishi
NeurIPS 2002 Graph-Driven Feature Extraction from Microarray Data Using Diffusion Kernels and Kernel CCA Jean-philippe Vert, Minoru Kanehisa