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Towards the geometry of estimation of distribution algorithms based on the exponential family.

, , and . FOGA, page 230-242. ACM, (2011)

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Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression., and . GSI, volume 8085 of Lecture Notes in Computer Science, page 861-867. Springer, (2013)Information Geometry of the Gaussian Distribution in View of Stochastic Optimization., and . FOGA, page 150-162. ACM, (2015)Implicit Model Selection Based on Variable Transformations in Estimation of Distribution., , , and . LION, volume 7219 of Lecture Notes in Computer Science, page 360-365. Springer, (2012)Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks., , and . NLDL, page 1-6. Septentrio Academic Publishing, (2020)Stochastic Natural Gradient Descent by estimation of empirical covariances., , and . IEEE Congress on Evolutionary Computation, page 949-956. IEEE, (2011)Towards the geometry of estimation of distribution algorithms based on the exponential family., , and . FOGA, page 230-242. ACM, (2011)Accelerating MCMC algorithms through Bayesian Deep Networks., , , and . CoRR, (2020)Natural gradient, fitness modelling and model selection: A unifying perspective., , and . IEEE Congress on Evolutionary Computation, page 486-493. IEEE, (2013)Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs., , and . IEEE Congress on Evolutionary Computation, page 1581-1588. IEEE, (2011)Optimization by ℓ1-Constrained Markov Fitness Modelling., , and . LION, volume 7219 of Lecture Notes in Computer Science, page 250-264. Springer, (2012)