Data Analysis with Bayesian Networks: A Bootstrap Approach

Data Analysis with Bayesian Networks: A Bootstrap Approach

23 January 2013

Papers citing "Data Analysis with Bayesian Networks: A Bootstrap Approach"

15 / 15 papers shown

Title
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 41 7 0 02 Feb 2024
A Bayesian Take on Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa GP 23 3 0 20 Jun 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 30 43 0 30 May 2023
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach Alessio Zanga Alice Bernasconi Peter J.F. Lucas H. Pijnenborg C. Reijnen M. Scutari Fabio Stella CML 11 4 0 17 May 2023
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 34 18 0 18 Sep 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 31 19 0 03 Jun 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 15 60 0 25 May 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 29 48 0 03 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 34 143 0 28 Feb 2022
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 8 476 0 22 Apr 2019
Bayesian Network Structure Learning Using Quantum Annealing B. O’Gorman A. Perdomo-Ortiz Ryan Babbush Alán Aspuru-Guzik V. Smelyanskiy 28 99 0 15 Jul 2014
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian Ru He Lavanya Ram BDL CML 35 43 0 15 Mar 2012
On Identifying Significant Edges in Graphical Models of Molecular Networks M. Scutari R. Nagarajan 60 167 0 05 Apr 2011