130 citations · 671 across the 42 of their papers we have counts for
Showing 2013 · stat.MLShow all
2 papers · 2 filters
stat.ML2013
Semi-supervised Ranking Pursuit
Evgeni Tsivtsivadze, Tom Heskes
We propose a novel sparse preference learning/ranking algorithm. Our algorithm approximates the true utility function by a weighted sum of basis functions using the squared loss on…
stat.ML2013
Sparse Approximate Inference for Spatio-Temporal Point Process Models
Botond Cseke, Andrew Zammit Mangion, Tom Heskes +1
Spatio-temporal point process models play a central role in the analysis of spatially distributed systems in several disciplines. Yet, scalable inference remains computa- tionally…