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Dimitri Meunier
Dimitri Meunier
PhD student, Gatsby Unit, UCL
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Optimal Rates for Regularized Conditional Mean Embedding Learning
Z Li*, D Meunier*, M Mollenhauer, A Gretton
Advances in Neural Information Processing Systems 35, 4433--4445, 2022
552022
Distribution Regression with Sliced Wasserstein Kernels
D Meunier, M Pontil, C Ciliberto
39th International Conference on Machine Learning 162, 15501-15523, 2022
282022
Meta-strategy for learning tuning parameters with guarantees
D Meunier, P Alquier
Entropy 23 (10), 1257, 2021
112021
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
Z Li*, D Meunier*, M Mollenhauer, A Gretton
Journal of Machine Learning Research 25 (181), 1-51, 2024
102024
Nonlinear Meta-Learning Can Guarantee Faster Rates
D Meunier, Z Li, A Gretton, S Kpotufe
arXiv preprint arXiv:2307.10870, 2023
82023
Optimal rates for vector-valued spectral regularization learning algorithms
D Meunier, Z Shen, M Mollenhauer, A Gretton, Z Li
Advances in Neural Information Processing Systems 37, 82514-82559, 2025
52025
Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal
D Meunier, Z Li, T Christensen, A Gretton
arXiv preprint arXiv:2411.19653, 2024
42024
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
J Kim, D Meunier, A Gretton, T Suzuki, Z Li
arXiv preprint arXiv:2501.04898, 2025
12025
Density Ratio-based Proxy Causal Learning Without Density Ratios
B Bozkurt, B Deaner, D Meunier, L Xu, A Gretton
arXiv preprint arXiv:2503.08371, 2025
2025
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Articles 1–9