Giusi Moffa

20 papers A* 1B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchpress : A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models.
J. Stat. Softw.
Felix L. Rios, Giusi Moffa, Jack Kuipers
2025 — conf
Exact discovery is polynomial for certain sparse causal Bayesian networks.
CLeaR
Felix Leopoldo Rios, Giusi Moffa, Jack Kuipers
2025 J jnl
Scaling Up Bayesian DAG Sampling.
CoRR
Daniele Nikzad, Alexander Zhilkin, Juha Harviainen, Jack Kuipers, Giusi Moffa, Mikko Koivisto
2025 — conf
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions.
CLeaR
Jack Kuipers, Giusi Moffa
2024 J jnl
Bayesian Causal Inference with Gaussian Process Networks.
CoRR
Enrico Giudice, Jack Kuipers, Giusi Moffa
2023 A* conf
A Bayesian Take on Gaussian Process Networks.
NeurIPS
Enrico Giudice, Jack Kuipers, Giusi Moffa
2023 J jnl
A Bayesian Take on Gaussian Process Networks.
CoRR
Enrico Giudice, Jack Kuipers, Giusi Moffa
2023 J jnl
Bayesian Structure Learning and Sampling of Bayesian Networks with the
J. Stat. Softw.
Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
2023 J jnl
The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks.
Int. J. Approx. Reason.
Enrico Giudice, Jack Kuipers, Giusi Moffa
2022 J jnl
Efficient Sampling and Structure Learning of Bayesian Networks.
J. Comput. Graph. Stat.
Jack Kuipers, Polina Suter, Giusi Moffa
2022 — conf
The Dual PC Algorithm for Structure Learning.
PGM
Enrico Giudice, Jack Kuipers, Giusi Moffa
2021 J jnl
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models.
CoRR
Felix L. Rios, Giusi Moffa, Jack Kuipers
2021 J jnl
Learning Bayesian Networks from Ordinal Data.
J. Mach. Learn. Res.
Xiang Ge Luo, Giusi Moffa, Jack Kuipers
2021 J jnl
Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference.
CoRR
Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers
2021 J jnl
The Dual PC Algorithm for Structure Learning.
CoRR
Enrico Giudice, Jack Kuipers, Giusi Moffa
2018 J jnl
Efficient Structure Learning and Sampling of Bayesian Networks.
CoRR
Jack Kuipers, Polina Suter, Giusi Moffa
2015 J jnl
Uniform random generation of large acyclic digraphs.
Stat. Comput.
Jack Kuipers, Giusi Moffa
2014 J jnl
Sequential Monte Carlo EM for multivariate probit models.
Comput. Stat. Data Anal.
Giusi Moffa, Jack Kuipers
2013 B conf
Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks.
RECOMB
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang
2013 J jnl
Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks.
J. Comput. Biol.
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang