18 citations · 60 across the 6 of their papers we have counts for
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stat.ML2017★ 17 cited
Bayesian Approaches to Distribution Regression
Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic +1
Distribution regression has recently attracted much interest as a generic solution to the problem of supervised learning where labels are available at the group level, rather than…
stat.ML2017★ 4 cited
Testing and Learning on Distributions with Symmetric Noise Invariance
Ho Chung Leon Law, Christopher Yau, Dino Sejdinovic
Kernel embeddings of distributions and the Maximum Mean Discrepancy (MMD), the resulting distance between distributions, are useful tools for fully nonparametric two-sample testing…