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[PDF][PDF] HWA: Hyperparameters Weight Averaging in Bayesian Neural Networks
Bayesian neural networks attempt to combine the strong predictive performance of neural
networks with formal quantification of uncertainty of the predicted output in the Bayesian …
networks with formal quantification of uncertainty of the predicted output in the Bayesian …
Non-Convex Optimization for Latent Data Models: Algorithms, Analysis and Applications
B Karimi - 2019 - theses.hal.science
Many problems in machine learning pertain to tackling the minimization of a possibly non-
convex and non-smooth function defined on a Many problems in machine learning pertain to …
convex and non-smooth function defined on a Many problems in machine learning pertain to …
[PDF][PDF] Nonconvex Optimization for Latent Data Models: An Incremental and An Online Point of View
B Karimi - 2019 - belhalk.github.io
• Models where the input-output relationship is not completely characterized by the observed
(x, y)∈ X× Y pairs in the training set• Dependence on a set of unobserved latent variables …
(x, y)∈ X× Y pairs in the training set• Dependence on a set of unobserved latent variables …