Jean-philippe Vert

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (56) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🧭 Keyword Pioneer 🏆 Keyword Champion 📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 🗃️ Keyword Collector (135)

Venues

NeurIPS (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)

Research topics

Machine Learning (24) Core Methods (21) Optimization & Theory (14) Mathematics & Optimization (12) Optimization (9) Learning Types · Machine Learning (6) Mathematics (6) Deep Learning (5) Data Science & Analytics (3) Methods (3) Artificial Intelligence (2) Computer Vision (2) Architectures (2) Learning Paradigms (2) Learning Types · Deep Learning (2)

Keywords

kernel methods (7) convex optimization (4) optimal transport (2) convex relaxation (2) reproducing kernel hilbert space (2) change point detection (2) permutation kernel (2) positive definite kernel (2) time series (2) entropic regularization (2) metric learning (1) structured prediction (1) hyperparameter optimization (1) collaborative filtering (1) compressed sensing (1) anomaly detection (1) low-rank decomposition (1) regularization (1) image classification (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 NeurIPS 2022 On Mixup Regularization JMLR 2022 Differentiable Divergences Between Time Series AISTATS 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 Reverse-Complement Equivariant Networks for DNA Sequences NeurIPS 2021 Learning with Differentiable Pertubed Optimizers NeurIPS 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection ICML 2019 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 The Weighted Kendall and High-order Kernels for Permutations ICML 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 NeurIPS 2014 Intersecting singularities for multi-structured estimation ICML 2013 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Semigroup Kernels on Measures JMLR 2005