Dimitri Meunier
6 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (7) π§ Keyword Pioneer π Conference Polyglot (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Taxonomy Completionist
(15)
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Trend Setter
Conferences
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
kernel ridge regression
(3)
reproducing kernel hilbert space
(2)
learning rate
(2)
optimal rate
(2)
spectral regularization
(1)
maximum mean discrepancy
(1)
kernel mean embedding
(1)
minimax optimal
(1)
spectral algorithm
(1)
operator learning
(1)
vector-valued output
(1)
sobolev space
(1)
conditional mean embedding
(1)
sobolev norm
(1)
interpolation space
(1)
distribution regression
(1)
vector-valued ridge regression
(1)
misspecified case
(1)
vector-valued regression
(1)
saturation effect
(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
NIPS 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Optimal Rates for Regularized Conditional Mean Embedding Learning
NIPS 2022
Distribution Regression with Sliced Wasserstein Kernels
ICML 2022