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Marginalised Gaussian Processes with Nested Sampling


Oct 30, 2020
Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen

* 10 pages 

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Ensembling geophysical models with Bayesian Neural Networks


Oct 07, 2020
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul J. Young

* Advances in Neural Information Processing Systems (NeurIPS) 2020 

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Convergence of Sparse Variational Inference in Gaussian Processes Regression


Aug 01, 2020
David R. Burt, Carl Edward Rasmussen, Mark van der Wilk

* Journal of Machine Learning Research, 21(131), 1-63 (2020) 
* Extended version of http://proceedings.mlr.press/v97/burt19a.html (arxiv version: arXiv:1903.03571 ). Published in Journal of Machine Learning Research: http://jmlr.org/papers/v21/19-1015.html. Code available at: https://github.com/markvdw/RobustGP 

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Variational Orthogonal Features


Jun 23, 2020
David R. Burt, Carl Edward Rasmussen, Mark van der Wilk


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Approximate Inference for Fully Bayesian Gaussian Process Regression


Dec 31, 2019
Vidhi Lalchand, Carl Edward Rasmussen

* Presented at 2nd Symposium on Advances in Approximate Bayesian Inference 2019 

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Benchmarking the Neural Linear Model for Regression


Dec 18, 2019
Sebastian W. Ober, Carl Edward Rasmussen

* Advances in Approximate Bayesian Inference (AABI 2019) 

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Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models


Jun 13, 2019
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen

* PMLR 97:2931-2940 (2019) 
* 10 pages, 4 figures, 3 tables. Published in the proceedings of the Thirty-sixth International Conference on Machine Learning (ICML), 2019 

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PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos


Feb 04, 2019
Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya

* ICML 2018 

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Non-Factorised Variational Inference in Dynamical Systems


Dec 14, 2018
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen

* 6 pages, 1 figure, 1 table 

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Closed-form Inference and Prediction in Gaussian Process State-Space Models


Dec 10, 2018
Alessandro Davide Ialongo, Mark van der Wilk, Carl Edward Rasmussen

* 7 pages, 6 figures 

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Deep Convolutional Networks as shallow Gaussian Processes


Aug 16, 2018
Adrià Garriga-Alonso, Laurence Aitchison, Carl Edward Rasmussen


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Gaussian Processes for Data-Efficient Learning in Robotics and Control


Oct 10, 2017
Marc Peter Deisenroth, Dieter Fox, Carl Edward Rasmussen

* IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, issue no 2, pages 408-423, February 2015 
* 20 pages, 29 figures; fixed a typo in equation on page 8 

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Convolutional Gaussian Processes


Sep 06, 2017
Mark van der Wilk, Carl Edward Rasmussen, James Hensman

* To appear in Advances in Neural Information Processing Systems 30 (NIPS 2017) 

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Understanding Probabilistic Sparse Gaussian Process Approximations


May 30, 2017
Matthias Bauer, Mark van der Wilk, Carl Edward Rasmussen

* published in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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Manifold Gaussian Processes for Regression


Apr 11, 2016
Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth

* 8 pages, accepted to IJCNN 2016 

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Data-Efficient Reinforcement Learning in Continuous-State POMDPs


Feb 08, 2016
Rowan McAllister, Carl Edward Rasmussen


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Integrated Pre-Processing for Bayesian Nonlinear System Identification with Gaussian Processes


Sep 17, 2013
Roger Frigola, Carl Edward Rasmussen

* Proceedings of the 52th IEEE International Conference on Decision and Control (CDC), Firenze, Italy, December 2013 

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Robust Filtering and Smoothing with Gaussian Processes


Mar 20, 2012
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen

* 7 pages, 1 figure, draft version of paper accepted at IEEE Transactions on Automatic Control 

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Additive Gaussian Processes


Dec 19, 2011
David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen

* Appearing in Neural Information Processing Systems 2011 

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Gaussian Mixture Modeling with Gaussian Process Latent Variable Models


Jul 13, 2010
Hannes Nickisch, Carl Edward Rasmussen

* 11 pages, 2 figures, 3 tables 

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