Varando, Gherardo

10 publications

UAI 2025 Learning Causal Response Representations Through Direct Effect Analysis Homer Durand, Gherardo Varando, Gustau Camps-Valls

AISTATS 2025 Out-of-Distribution Robustness for Multivariate Analysis via Causal Regularisation Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls

PGM 2024 Context-Specific Refinements of Bayesian Network Classifiers Manuele Leonelli, Gherardo Varando

PGM 2024 Learning Staged Trees from Incomplete Data Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando

ICLRW 2024 Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist Kai-Hendrik Cohrs, Gherardo Varando, Roger Guimerà, Marta Sales Pardo, Gustau Camps-Valls

AISTATS 2023 Context-Specific Causal Discovery for Categorical Data Using Staged Trees Manuele Leonelli, Gherardo Varando

PGM 2022 Highly Efficient Structural Learning of Sparse Staged Trees Manuele Leonelli, Gherardo Varando

UAI 2020 Graphical Continuous Lyapunov Models Gherardo Varando, Niels Richard Hansen

PGM 2018 A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga

JMLR 2015 Decision Boundary for Discrete Bayesian Network Classifiers Gherardo Varando, Concha Bielza, Pedro Larrañaga