207 citations · 303 across the 20 of their papers we have counts for
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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…
stat.ML2017★ 11 cited
Bayesian Boolean Matrix Factorisation
Tammo Rukat, Chris C. Holmes, Michalis K. Titsias +1
Boolean matrix factorisation aims to decompose a binary data matrix into an approximate Boolean product of two low rank, binary matrices: one containing meaningful patterns, the ot…