Dimitri Meunier

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Learning Algorithm

Tuning Parameters

Polynomial Regression

Top Venues

Publications

Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms. CoRR (2024)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm. CoRR (2023)
Dimitri Meunier, Zhu Li, Arthur Gretton, Samory Kpotufe
Nonlinear Meta-Learning Can Guarantee Faster Rates. CoRR (2023)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Optimal Rates for Regularized Conditional Mean Embedding Learning. CoRR (2022)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Optimal Rates for Regularized Conditional Mean Embedding Learning. NeurIPS (2022)
Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
Distribution Regression with Sliced Wasserstein Kernels. ICML (2022)
Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
Distribution Regression with Sliced Wasserstein Kernels. CoRR (2022)
Dimitri Meunier, Pierre Alquier
Meta-Strategy for Learning Tuning Parameters with Guarantees. Entropy 23 (10) (2021)
Dimitri Meunier, Pierre Alquier
Meta-strategy for Learning Tuning Parameters with Guarantees. CoRR (2021)