Gherardo Varando

发表

L G ] 1 2 N ov 2 01 8 Markov Property in Generative Classifiers

C. Bielza, P. Larrañaga, Eva Riccomagno, 2018 .

Aalborg Universitet Conditional Density Approximations with Mixtures of Polynomials

Thomas D. Nielsen, Pedro L. López-Cruz, P. Larrañaga, 2014 .

A new class of generative classifiers based on staged tree models

Gherardo Varando, Manuele Leonelli, Federico Carli, 2020, Knowl. Based Syst..

Learning Causal Representations with Granger PCA

G. Camps-Valls, J. Muñoz-Marí, Gherardo Varando, 2022 .

Staged trees and asymmetry-labeled DAGs

Gherardo Varando, Manuele Leonelli, Federico Carli, 2021, ArXiv.

A survey on multi‐output regression

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2015, WIREs Data Mining Knowl. Discov..

Conditional Density Approximations with Mixtures of Polynomials

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2015, Int. J. Intell. Syst..

Regression models with MoPs Bayesian networks

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Gherardo Varando, 2014 .

Learning Granger Causal Feature Representations

Gherardo Varando, M. Fernandez-Torres, Gustau Camps-Valls, 2021 .

The R Package stagedtrees for Structural Learning of Stratified Staged Trees

Manuele Leonelli, Gherardo Varando, Eva Riccomagno, 2020, J. Stat. Softw..

Structural Learning of Simple Staged Trees

Gherardo Varando, Manuele Leonelli, 2022, ArXiv.

On generating random Gaussian graphical models

C. Bielza, P. Larrañaga, Gherardo Varando, 2019, Int. J. Approx. Reason..

A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices

Concha Bielza, Pedro Larrañaga, Irene Córdoba, 2018, IDEAL.

MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2018, Front. Neuroanat..

Learning latent functions for causal discovery

Gherardo Varando, J. E. Johnson, Gustau Camps-Valls, 2023, Machine Learning: Science and Technology.

Using Staged Tree Models for Health Data: Investigating Invasive Fungal Infections by Aspergillus and Other Filamentous Fungi

Gherardo Varando, Manuele Leonelli, L. Gorospe, 2023, Computational and Structural Biotechnology Journal.

Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2014, Probabilistic Graphical Models.

Decision functions for chain classifiers based on Bayesian networks for multi-label classification

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2016, Int. J. Approx. Reason..

Decision boundary for discrete Bayesian network classifiers

Concha Bielza, Pedro Larrañaga, Gherardo Varando, 2015, J. Mach. Learn. Res..

Learning DAGs without imposing acyclicity pdf

Gherardo Varando, Gherardo Varando, 2020, ArXiv.

Graphical continuous Lyapunov models pdf

Gherardo Varando, Niels Richard Hansen, Gherardo Varando, 2020, UAI.

Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

M. E. Jakobsen, Lasse Petersen, Gherardo Varando, 2020, NeurIPS.

Causal inference for time series

V. Eyring, Jakob Runge, Gherardo Varando, 2023, Nature Reviews Earth & Environment.

Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear

Gherardo Varando, Manuele Leonelli, 2023, Appl. Intell..

Highly Efficient Structural Learning of Sparse Staged Trees

Gherardo Varando, Manuele Leonelli, 2022, PGM.

Context-Specific Causal Discovery for Categorical Data Using Staged Trees

Gherardo Varando, Manuele Leonelli, 2021, AISTATS.

Discovering Causal Relations and Equations from Data

G. Martius, Jakob Runge, E. Balaguer-Ballester, 2023, Physics Reports.

Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data

C. Bielza, P. Larrañaga, Gherardo Varando, 2020, IEEE Access.

Double machine learning for causal hybrid modeling -- applications in the Earth sciences

M. Reichstein, N. Carvalhais, Gherardo Varando, 2024, 2402.13332.

Causal hybrid modeling with double machine learning

M. Reichstein, N. Carvalhais, Gherardo Varando, 2024, 2402.13332.

Large Language Models for Constrained-Based Causal Discovery

Gherardo Varando, Vasileios Sitokonstantinou, Emiliano Díaz, 2024, ArXiv.

Robust learning of staged tree models: A case study in evaluating transport services

Gherardo Varando, Manuele Leonelli, 2024, Socio-Economic Planning Sciences.