output
20162024
most citedHyperparameter Optimization in Machine Learning

30 citations

11 papers

stat.ML2024★ 30 cited

Hyperparameter Optimization in Machine Learning

Luca Franceschi, Michele Donini, Valerio Perrone +5

Hyperparameters are configuration variables controlling the behavior of machine learning algorithms. They are ubiquitous in machine learning and artificial intelligence and the cho…

cs.LG2024★ 19 cited

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

Tomi Silander, Janne Leppä-aho, Elias Jääsaari +1

We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely rela…

cs.LO2023

Axiomatizations of causal reasoning under indeterministic causal laws

Fausto Barbero

We investigate the generalization of causal models to the case of indeterministic causal laws that was suggested in Halpern (2000). We give an overview of what differences in model…

stat.ML2021

Adaptive Multi-View ICA: Estimation of noise levels for optimal inference

Hugo Richard, Pierre Ablin, Aapo Hyvärinen +2

We consider a multi-view learning problem known as group independent component analysis (group ICA), where the goal is to recover shared independent sources from many views. The st…

math.AP2020★ 7 cited

Energy minimisers with prescribed Jacobian

André Guerra, Lukas Koch, Sauli Lindberg

We study the symmetry and uniqueness of maps which minimise the -Dirichlet energy, under the constraint that their Jacobian is a given radially symmetric function . We find…

cs.HC2020★ 8 cited

Medical Selfies: Emotional Impacts and Practical Challenges

Daniel Diethei, Ashley Colley, Matilda Kalving +3

Medical images taken with mobile phones by patients, i.e. medical selfies, allow screening, monitoring and diagnosis of skin lesions. While mobile teledermatology can provide good…