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2020 – today
- 2024
[i6]Enrico Giudice, Jack Kuipers, Giusi Moffa
:
Bayesian Causal Inference with Gaussian Process Networks. CoRR abs/2402.00623 (2024)- 2023
- [j7]Enrico Giudice, Jack Kuipers, Giusi Moffa:
The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks. Int. J. Approx. Reason. 161: 108975 (2023) - [j6]Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel:
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG. J. Stat. Softw. 105(9) (2023) - [c3]Enrico Giudice, Jack Kuipers, Giusi Moffa:
A Bayesian Take on Gaussian Process Networks. NeurIPS 2023 - [i5]Enrico Giudice, Jack Kuipers, Giusi Moffa:
A Bayesian Take on Gaussian Process Networks. CoRR abs/2306.11380 (2023) - 2022
- [j5]Jack Kuipers, Polina Suter, Giusi Moffa:
Efficient Sampling and Structure Learning of Bayesian Networks. J. Comput. Graph. Stat. 31(3): 639-650 (2022) - [c2]Enrico Giudice, Jack Kuipers, Giusi Moffa:
The Dual PC Algorithm for Structure Learning. PGM 2022: 301-312 - 2021
- [j4]Xiang Ge Luo, Giusi Moffa, Jack Kuipers:
Learning Bayesian Networks from Ordinal Data. J. Mach. Learn. Res. 22: 266:1-266:44 (2021) - [i4]Felix L. Rios, Giusi Moffa, Jack Kuipers:
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models. CoRR abs/2107.03863 (2021) - [i3]Enrico Giudice, Jack Kuipers, Giusi Moffa:
The Dual PC Algorithm for Structure Learning. CoRR abs/2112.09036 (2021) - [i2]Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers:
Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference. CoRR abs/2112.09217 (2021)
2010 – 2019
- 2018
- [i1]Jack Kuipers, Polina Suter, Giusi Moffa:
Efficient Structure Learning and Sampling of Bayesian Networks. CoRR abs/1803.07859 (2018) - 2015
- [j3]Jack Kuipers, Giusi Moffa:
Uniform random generation of large acyclic digraphs. Stat. Comput. 25(2): 227-242 (2015) - 2014
- [j2]Giusi Moffa, Jack Kuipers:
Sequential Monte Carlo EM for multivariate probit models. Comput. Stat. Data Anal. 72: 252-272 (2014) - 2013
- [j1]Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang:
Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks. J. Comput. Biol. 20(11): 920-932 (2013) - [c1]Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang:
Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks. RECOMB 2013: 234-248
Coauthor Index
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