Dimitri Meunier
6 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Keywords
kernel ridge regression
(4)
reproducing kernel hilbert space
(2)
optimal rate
(2)
learning rate
(2)
minimax optimality
(1)
causal effect estimation
(1)
sliced wasserstein distance
(1)
nonparametric regression
(1)
density ratio estimation
(1)
spectral regularization
(1)
maximum mean discrepancy
(1)
kernel mean embedding
(1)
minimax optimal
(1)
spectral algorithm
(1)
deep neural network
(1)
operator learning
(1)
instrumental variable regression
(1)
vector-valued output
(1)
hidden confounding
(1)
sobolev space
(1)
Papers
Density Ratio-based Proxy Causal Learning Without Density Ratios
AISTATS 2025
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
ICLR 2025
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
NeurIPS 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Distribution Regression with Sliced Wasserstein Kernels
ICML 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning
NeurIPS 2022