63 citations · 64 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
Computationally Efficient Estimation of Large Probit Models
Patrick Ding, Guido Imbens, Zhaonan Qu +1
Probit models are useful for modeling correlated discrete responses in many disciplines, including consumer choice data in economics and marketing. However, the Gaussian latent var…
cs.LG2019★ 63 cited
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding +1
In this paper, we study the problem of learning probabilistic logical rules for inductive and interpretable link prediction. Despite the importance of inductive link prediction, mo…