Jean-philippe Vert

24 papers · 2005–2025 · 4 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (18) 🌍 Conference Polyglot (4)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🏆 Keyword Champion 🌱 Topic Pioneer 💎 Century Club (24) 🔥 Unstoppable (6) 🗃️ Keyword Collector (52) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

NIPS (10) ICML (7) JMLR (5) AISTATS (2)

Top co-authors

Marco Cuturi (6) Francis Bach (5) Quentin Berthet (3) Olivier Teboul (3) Mathieu Blondel (3) Adeline Fermanian (2) Emile Richard (2) Francis R. Bach (2) Gérard Biau (2) Pierre Marion (2)

Keywords

kernel methods (7) convex optimization (4) optimal transport (2) entropic regularization (2) change-point detection (2) convex relaxation (2) reproducing kernel hilbert space (2) permutation kernel (2) positive definite kernel (2) multi-task learning (1) hyperparameter optimization (1) structured prediction (1) collaborative filtering (1) metric learning (1) time series analysis (1) anomaly detection (1) compressed sensing (1) low-rank decomposition (1) automatic differentiation (1) supervised learning (1)

Papers

Scaling ResNets in the Large-depth Regime JMLR 2025 Regression as Classification: Influence of Task Formulation on Neural Network Features AISTATS 2023 Efficient and Modular Implicit Differentiation NIPS 2022 On Mixup Regularization JMLR 2022 Differentiable Divergences Between Time Series AISTATS 2021 Framing RNN as a kernel method: A neural ODE approach NIPS 2021 Reverse-Complement Equivariant Networks for DNA Sequences NIPS 2021 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 Learning with Differentiable Pertubed Optimizers NIPS 2020 kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection ICML 2019 Differentiable Ranking and Sorting using Optimal Transport NIPS 2019 The Weighted Kendall and High-order Kernels for Permutations ICML 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NIPS 2018 WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018 The Kendall and Mallows Kernels for Permutations ICML 2015 Tight convex relaxations for sparse matrix factorization NIPS 2014 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013 Intersecting singularities for multi-structured estimation ICML 2013 Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009 Clustered Multi-Task Learning: A Convex Formulation NIPS 2008 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Semigroup Kernels on Measures JMLR 2005