2.6k citations · 11.1k across the 96 of their papers we have counts for
3 papers · 1 filter
Slice Sampling for Probabilistic Programming
Razvan Ranca, Zoubin Ghahramani
We introduce the first, general purpose, slice sampling inference engine for probabilistic programs. This engine is released as part of StocPy, a new Turing-Complete probabilistic…
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases
Simon Lacoste-Julien, Konstantina Palla, Alex Davies +3
The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information. Tools for automatically align…
Active Learning with Statistical Models
D. A. Cohn, Z. Ghahramani, M. I. Jordan
For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniqu…