, , 2016.
Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input, The IEEE Conference on Computer Vision and Pattern Recognition, 2018. ,
Kernel methods for deep learning, Advances in Neural Information Processing Systems, pp.342-350, 2009. ,
Deep Gaussian processes, Artificial Intelligence and Statistics, pp.207-215, 2013. ,
Avoiding pathologies in very deep networks, Artificial Intelligence and Statistics, pp.202-210, 2014. ,
Bayesian learning for neural networks, vol.118, 1996. ,
Deep learning: A Bayesian perspective, Bayesian Analysis, vol.12, issue.4, pp.1275-1304, 2017. ,
Gaussian Processes for Machine Learning, 2006. ,
The Weibull distribution: a handbook, 2008. ,
, Advances in Neural Information Processing Systems, pp.3622-3631, 2017.
Mastering the game of go with deep neural networks and tree search, Nature, vol.529, issue.7587, pp.484-489, 2016. ,
Fonctions de repartition an dimensions et leurs marges, Publ. inst. statist. univ. Paris, vol.8, pp.229-231, 1959. ,
Dropout: A simple way to prevent neural networks from overfitting, The Journal of Machine Learning Research, vol.15, issue.1, pp.1929-1958, 2014. ,
Regression shrinkage and selection via the Lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996. ,