2 citations · 6 across the 6 of their papers we have counts for
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stat.ML2020
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
Hanlin Zhu, Xue Li, Liuyang Sun +5
Across many areas, from neural tracking to database entity resolution, manual assessment of clusters by human experts presents a bottleneck in rapid development of scalable and spe…
math.ST2020
Conditional Independence in Max-linear Bayesian Networks
Carlos Améndola, Claudia Klüppelberg, Steffen Lauritzen +1
Motivated by extreme value theory, max-linear Bayesian networks have been recently introduced and studied as an alternative to linear structural equation models. However, for max-l…
stat.ML2020
Stochastic geometry to generalize the Mondrian Process
Eliza O'Reilly, Ngoc Tran
The stable under iterated tessellation (STIT) process is a stochastic process that produces a recursive partition of space with cut directions drawn independently from a distributi…