Luigi Malagō
Luigi Malagō
Romanian Institute of Science and Technology - RIST, Cluj-Napoca, Romania
Verifierad e-postadress på rist.ro - Startsida
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Towards the geometry of estimation of distribution algorithms based on the exponential family
L Malagō, M Matteucci, G Pistone
Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011
362011
Wasserstein Riemannian geometry of Gaussian densities
L Malagō, L Montrucchio, G Pistone
Information Geometry 1 (2), 137-179, 2018
28*2018
Natural gradient, fitness modelling and model selection: A unifying perspective
L Malago, M Matteucci, G Pistone
2013 IEEE Congress on Evolutionary Computation, 486-493, 2013
172013
Information geometry of the Gaussian distribution in view of stochastic optimization
L Malagō, G Pistone
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015
152015
Combinatorial optimization with information geometry: The newton method
L Malagō, G Pistone
Entropy 16 (8), 4260-4289, 2014
152014
Stochastic relaxation as a unifying approach in 0/1 programming
L Malago, M Matteucci, G Pistone
NIPS 2009 workshop on discrete optimization in machine learning …, 2009
122009
Stochastic natural gradient descent by estimation of empirical covariances
M Luigi, M Matteucci, G Pistone
2011 IEEE Congress of Evolutionary Computation (CEC), 949-956, 2011
112011
Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs
M Luigi, M Matteucci, G Valentini
2011 IEEE Congress of Evolutionary Computation (CEC), 1581-1588, 2011
102011
Online active learning with strong and weak annotators
L Malago, N Cesa-Bianchi, J Renders
NIPS Workshop on Learning from the Wisdom of Crowds, 2014
92014
A note on the border of an exponential family
L Malago, G Pistone
arXiv preprint arXiv:1012.0637, 2010
92010
Evoptool: an extensible toolkit for evolutionary optimization algorithms comparison
G Valentini, L Malago, M Matteucci
IEEE Congress on Evolutionary Computation, 1-8, 2010
92010
An information geometry perspective on estimation of distribution algorithms: boundary analysis
L Malagō, M Matteucci, B Dal Seno
Proceedings of the 10th annual conference companion on Genetic and …, 2008
92008
Natural gradient flow in the mixture geometry of a discrete exponential family
L Malagō, G Pistone
Entropy 17 (6), 4215-4254, 2015
72015
On the geometry of optimization based on the exponential family relaxation
L Malago
Italy, 2012
62012
Milan RoboCup team 2009
A Bonarini, A Furlan, L Malago, D Marzorati, M Matteucci, D Migliore, ...
Proc of the RoboCup, 2009
62009
Optimization by ℓ1-Constrained Markov Fitness Modelling
G Valentini, L Malagō, M Matteucci
International Conference on Learning and Intelligent Optimization, 250-264, 2012
52012
Gradient flow of the stochastic relaxation on a generic exponential family
L Malagō, G Pistone
AIP Conference Proceedings 1641 (1), 353-360, 2015
32015
Robust estimation of natural gradient in optimization by regularized linear regression
L Malagō, M Matteucci
International Conference on Geometric Science of Information, 861-867, 2013
22013
Implicit model selection based on variable transformations in estimation of distribution
E Corsano, D Cucci, L Malagō, M Matteucci
International Conference on Learning and Intelligent Optimization, 360-365, 2012
22012
An Explanatory Analysis of the Geometry of Latent Variables Learned by Variational Auto-Encoders
A Peste, L Malagō, S Sârbu
NIPS, Bayesian Deep Learning Workshop, 2017
12017
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Artiklar 1–20