← Authors

meyer scetbon

16 papers · 2019–2025 · 3 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (25) 🌍 Conference Polyglot (3) πŸ’Ž Century Club (16) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (72)

Conferences

ICML (8) AISTATS (4) NIPS (4)

Top co-authors

Marco Cuturi (6) ZaΓ―d Harchaoui (3) Laurent Meunier (3) Elvis DOHMATOB (2) Jamal Atif (2) Gabriel PeyrΓ© (2) Chao Ma (2) Agrin Hilmkil (1) Cheng Zhang (1) Michal Klein (1)

Keywords

optimal transport (6) entropic regularization (5) kernel methods (3) entropy regularization (3) reproducing kernel hilbert space (2) approximation error (2) low-rank approximation (2) computational complexity (1) point cloud (1) feature extraction (1) distribution comparison (1) gradient descent (1) linear programming (1) kernel matrix (1) early stopping (1) two-sample test (1) distribution testing (1) statistical testing (1) spectral analysis (1) linear regression (1)

Papers

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training ICML 2025
A Fixed-Point Approach for Causal Generative Modeling ICML 2024
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms ICML 2024
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023
Unbalanced Low-rank Optimal Transport Solvers NIPS 2023
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing NIPS 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022
Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021
Low-Rank Sinkhorn Factorization ICML 2021
Equitable and Optimal Transport with Multiple Agents AISTATS 2021
A Spectral Analysis of Dot-product Kernels AISTATS 2021
Harmonic Decompositions of Convolutional Networks ICML 2020
Linear Time Sinkhorn Divergences using Positive Features NIPS 2020
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing NIPS 2019