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Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds.

, , , and . NeurIPS, page 3341-3351. (2018)

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Characterization of the p-generalized normal distribution., , and . J. Multivariate Analysis, 100 (5): 817-820 (2009)Bayesian methods for neural data analysis.. Eberhard Karls University of Tübingen, (2010)Confidence Bounds for Statistical Model Checking of Probabilistic Hybrid Systems., , and . FORMATS, volume 7595 of Lecture Notes in Computer Science, page 123-138. Springer, (2012)Unsupervised learning of a steerable basis for invariant image representations., , and . Human Vision and Electronic Imaging, volume 6492 of SPIE Proceedings, page 64920C. SPIE, (2007)Efficient Splitting of Test and Simulation Cases for the Verification of Highly Automated Driving Functions., , , , , and . SAFECOMP, volume 11093 of Lecture Notes in Computer Science, page 139-153. Springer, (2018)An Approach for Safety Assessment of Highly Automated Systems Applied to a Maritime Traffic Alert and Collision Avoidance System., , , , , , and . ICSRS, page 494-503. IEEE, (2019)Bayesian Inference for Spiking Neuron Models with a Sparsity Prior., , , and . NIPS, page 529-536. Curran Associates, Inc., (2007)Bayesian Inference for Sparse Generalized Linear Models., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 298-309. Springer, (2007)Perspectives on the Validation and Verification of Machine Learning Systems in the Context of Highly Automated Vehicles., , , and . AAAI Spring Symposia, AAAI Press, (2018)Context-model generation for safe autonomous transport vehicles., , , , and . DEBS, page 365-366. ACM, (2012)