Giusi Moffa

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Approximate Inference

Bayesian Networks

Conditional Independence

Top Venues

Int. J. Approx. Reason.

J. Stat. Softw.

J. Mach. Learn. Res.

Publications

Enrico Giudice, Jack Kuipers, Giusi Moffa
Bayesian Causal Inference with Gaussian Process Networks. CoRR (2024)
Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
Package BiDAG. J. Stat. Softw. 105 (9) (2023)
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 (2023)
Enrico Giudice, Jack Kuipers, Giusi Moffa
A Bayesian Take on Gaussian Process Networks. CoRR (2023)
Enrico Giudice, Jack Kuipers, Giusi Moffa
A Bayesian Take on Gaussian Process Networks. NeurIPS (2023)
Jack Kuipers, Polina Suter, Giusi Moffa
Efficient Sampling and Structure Learning of Bayesian Networks. J. Comput. Graph. Stat. 31 (3) (2022)
Enrico Giudice, Jack Kuipers, Giusi Moffa
The Dual PC Algorithm for Structure Learning. PGM (2022)
Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers
Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference. CoRR (2021)
Felix L. Rios, Giusi Moffa, Jack Kuipers
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models. CoRR (2021)
Enrico Giudice, Jack Kuipers, Giusi Moffa
The Dual PC Algorithm for Structure Learning. CoRR (2021)
Xiang Ge Luo, Giusi Moffa, Jack Kuipers
Learning Bayesian Networks from Ordinal Data. J. Mach. Learn. Res. 22 (2021)
Jack Kuipers, Polina Suter, Giusi Moffa
Efficient Structure Learning and Sampling of Bayesian Networks. CoRR (2018)
Jack Kuipers, Giusi Moffa
Uniform random generation of large acyclic digraphs. Stat. Comput. 25 (2) (2015)
Giusi Moffa, Jack Kuipers
Sequential Monte Carlo EM for multivariate probit models. Comput. Stat. Data Anal. 72 (2014)
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang
Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks. RECOMB (2013)
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang
Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks. J. Comput. Biol. 20 (11) (2013)