67 citations · 118 across the 22 of their papers we have counts for
3 papers · 1 filter
Pre and Post Counting for Scalable Statistical-Relational Model Discovery
Richard Mar, Oliver Schulte
Statistical-Relational Model Discovery aims to find statistically relevant patterns in relational data. For example, a relational dependency pattern may stipulate that a user's gen…
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
Xiangyu Sun, Oliver Schulte, Guiliang Liu +1
We describe NTS-NOTEARS, a score-based structure learning method for time-series data to learn dynamic Bayesian networks (DBNs) that captures nonlinear, lagged (inter-slice) and in…
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte +3
Recent work on graph generative models has made remarkable progress towards generating increasingly realistic graphs, as measured by global graph features such as degree distributi…