Dimitri Meunier

According to our database, Dimitri Meunier authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Demystifying Spectral Feature Learning for Instrumental Variable Regression.

Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir R. Kostic, Arthur Gretton

CoRR, June, 2025

Density Ratio-Free Doubly Robust Proxy Causal Learning.

Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton

CoRR, May, 2025

Regularized least squares learning with heavy-tailed noise is minimax optimal.

Mattes Mollenhauer, Nicole Mücke, Dimitri Meunier, Arthur Gretton

CoRR, May, 2025

Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression.

Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Density Ratio-based Proxy Causal Learning Without Density Ratios.

Bariscan Bozkurt, Ben Deaner, Dimitri Meunier, Liyuan Xu, Arthur Gretton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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