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Carl Edward Rasmussen
Carl Edward Rasmussen
Professor of Machine Learning, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Gaussian Processes for Machine Learning
CE Rasmussen, CKI Williams
the MIT Press, 2006
291102006
Gaussian processes in machine learning
CE Rasmussen
Lecture notes in computer science 3176, 63-71, 2004
5153*2004
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems 14, 577-584, 2002
2672*2002
A unifying view of sparse approximate Gaussian process regression
J Quiñonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
24312005
PILCO: A model-based and data-efficient approach to policy search
M Deisenroth, CE Rasmussen
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
18802011
The infinite Gaussian mixture model
CE Rasmussen
Advances in neural information processing systems 12, 554-560, 2000
17902000
Gaussian processes for regression
CKI Williams, CE Rasmussen
Advances in Neural Processing Systems 8, 514 - 520, 1996
17431996
Gaussian processes for machine learning (GPML) toolbox
CE Rasmussen, H Nickisch
The Journal of Machine Learning Research 11, 3011-3015, 2010
11862010
Gaussian Processes for Data-Efficient Learning in Robotics and Control
M Deisenroth, D Fox, C Rasmussen
IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 408-423, 2015
7962015
Evaluation of Gaussian processes and other methods for non-linear regression
CE Rasmussen
University of Toronto, 1996
6621996
Infinite mixtures of Gaussian process experts
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 14 2, 881-888, 2002
6542002
Gaussian Process priors with uncertain inputs - Application to multiple-step ahead time series forecasting
A Girard, CE Rasmussen, J Quinonero-Candela, R Murray-Smith
MIT Press, 2003
633*2003
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
The Journal of Machine Learning Research 11, 1865-1881, 2010
5592010
Gaussian process priors with uncertain inputs: Multiple-step ahead prediction
A Girard, CE Rasmussen, R Murray-Smith
Delovno porocilo DCS TR-2002-119, University of Glasgow, Glasgow, 2002
559*2002
Approximations for binary Gaussian process classification
H Nickisch, CE Rasmussen
Journal of Machine Learning Research 9, 2035-2078, 2008
4732008
Warped Gaussian processes
E Snelson, CE Rasmussen, Z Ghahramani
Advances in neural information processing systems 16, 337-344, 2004
4492004
Assessing approximate inference for binary Gaussian process classification
M Kuss, CE Rasmussen
The Journal of Machine Learning Research 6, 1679-1704, 2005
4082005
Derivative observations in Gaussian process models of dynamic systems
E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen
MIT Press, 2003
4032003
Additive Gaussian Processes
D Duvenaud, H Nickisch, CE Rasmussen
Neural Information Processing Systems 24, 226-234, 2012
3892012
Occam's razor
CE Rasmussen, Z Ghahramani
Advances in neural information processing systems, 294-300, 2001
3842001
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