Dimitri Meunier

According to our database, Dimitri Meunier authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm.

Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton

J. Mach. Learn. Res., 2024

Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal.

Dimitri Meunier, Zhu Li, Tim Christensen, Arthur Gretton

CoRR, 2024

Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms.

Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li

CoRR, 2024

2023

Nonlinear Meta-Learning Can Guarantee Faster Rates.

Dimitri Meunier, Zhu Li, Arthur Gretton, Samory Kpotufe

CoRR, 2023

2022

Optimal Rates for Regularized Conditional Mean Embedding Learning.

Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distribution Regression with Sliced Wasserstein Kernels.

Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto

Proceedings of the International Conference on Machine Learning, 2022

2021

Meta-Strategy for Learning Tuning Parameters with Guarantees.

Dimitri Meunier, Pierre Alquier

Entropy, 2021