Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds

29 October 2018

Papers citing "Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds"

5 / 5 papers shown

Title
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds Mehdi Hennequin Abdelkrim Zitouni K. Benabdeslem H. Elghazel Yacine Gaci 50 0 0 09 Nov 2024
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 103 812 0 31 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 304 4,623 0 10 Nov 2016
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 70 664 0 27 Oct 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 65 183 0 27 May 2016