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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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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)Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks., , and . NLDL, page 1-6. Septentrio Academic Publishing, (2020)Accelerating MCMC algorithms through Bayesian Deep Networks., , , and . CoRR, (2020)Stochastic Natural Gradient Descent by estimation of empirical covariances., , and . IEEE Congress on Evolutionary Computation, page 949-956. IEEE, (2011)An information geometry perspective on estimation of distribution algorithms: boundary analysis., , and . GECCO (Companion), page 2081-2088. ACM, (2008)Second-Order Optimization over the Multivariate Gaussian Distribution., and . GSI, volume 9389 of Lecture Notes in Computer Science, page 349-358. Springer, (2015)Parameters Estimation from the 21 cm signal using Variational Inference, , and . (2020)cite arxiv:2005.02299Comment: Presented at ICLR 2020 Workshop on Fundamental Science in the era of AI.