18 citations · 34 across the 11 of their papers we have counts for
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stat.ML2026
Learning Random Geometric Graphs Drawn in Probabilistic Metric Spaces
Dalia Chakrabarty, Kangrui Wang, Chuqiao Zhang +1
We present a new data-driven learning of a Random Geometric Graph (RGG) of a multivariate dataset, where the graph is drawn in a probabilistic metric space. This graph learning wor…
stat.ML2019★ 18 cited
Multi-resolution Multi-task Gaussian Processes
Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang +1
We consider evidence integration from potentially dependent observation processes under varying spatio-temporal sampling resolutions and noise levels. We develop a multi-resolution…