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Optimization by ℓ1-Constrained Markov Fitness Modelling.

, , and . LION, volume 7219 of Lecture Notes in Computer Science, page 250-264. Springer, (2012)

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Information Geometry of the Gaussian Distribution in View of Stochastic Optimization., and . FOGA, page 150-162. ACM, (2015)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)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)Towards the geometry of estimation of distribution algorithms based on the exponential family., , and . FOGA, page 230-242. ACM, (2011)Stochastic Natural Gradient Descent by estimation of empirical covariances., , and . IEEE Congress on Evolutionary Computation, page 949-956. IEEE, (2011)Accelerating MCMC algorithms through Bayesian Deep Networks., , , and . CoRR, (2020)Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks., , and . NLDL, page 1-6. Septentrio Academic Publishing, (2020)Variational autoencoders trained with q-deformed lower bounds., and . DGS@ICLR, OpenReview.net, (2019)Natural Alpha Embeddings., and . CoRR, (2019)Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder., , and . NLDL, page 1-6. Septentrio Academic Publishing, (2020)