9 citations · 15 across the 14 of their papers we have counts for
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stat.ML2022★ 9 cited
Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li, Dimitri Meunier, Mattes Mollenhauer +1
We address the consistency of a kernel ridge regression estimate of the conditional mean embedding (CME), which is an embedding of the conditional distribution of given int…
stat.ML2022★ 1 cited
Distribution Regression with Sliced Wasserstein Kernels
Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
The problem of learning functions over spaces of probabilities - or distribution regression - is gaining significant interest in the machine learning community. A key challenge beh…