2018
Efficient Weight Learning in High-Dimensional Untied MLNs
AISTATS 2018poster
Existing techniques for improving scalability of weight learning in Markov Logic Networks (MLNs) are typically effective when the parameters of the MLN are tied, i.e., several ground formulas in the MLN share the same weight. However, to improve accuracy in real-world problems, we typically need to…