Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms

8 July 2021

Papers citing "Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms"

6 / 6 papers shown

Title
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling Xudong Sun Alex Markham Pratik Misra Carsten Marr CML 58 0 0 12 Mar 2025
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Burkner Lu Zhang Bob Carpenter Aki Vehtari 23 6 0 06 Jul 2024
$$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery$ $\texttt{causalAssembly}$ : Generating Realistic Production Data for Benchmarking Causal Discovery Konstantin Göbler Tobias Windisch Mathias Drton T. Pychynski Steffen Sonntag Martin Roth CML 35 9 0 19 Jun 2023
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 109 195 0 05 May 2021
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG Polina Suter Jack Kuipers G. Moffa N. Beerenwinkel 42 39 0 02 May 2021
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 135 417 0 20 Feb 2013