ML Anthology

Rasmussen, Carl E.

12 publications

UAI 2021 The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober, Carl E. Rasmussen, Mark Wilk
NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts, Carl E. Rasmussen
NeurIPS 2011 Additive Gaussian Processes David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen
NeurIPS 2011 Gaussian Process Training with Input Noise Andrew Mchutchon, Carl E. Rasmussen
NeurIPS 2005 Assessing Approximations for Gaussian Process Classification Malte Kuss, Carl E. Rasmussen
NeurIPS 2003 Gaussian Processes in Reinforcement Learning Malte Kuss, Carl E. Rasmussen
NeurIPS 2003 Prediction on Spike Data Using Kernel Algorithms Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf, Carl E. Rasmussen
NeurIPS 2003 Warped Gaussian Processes Edward Snelson, Zoubin Ghahramani, Carl E. Rasmussen
NeurIPS 2002 Bayesian Monte Carlo Zoubin Ghahramani, Carl E. Rasmussen
NeurIPS 2002 Derivative Observations in Gaussian Process Models of Dynamic Systems E. Solak, R. Murray-smith, W. E. Leithead, D. J. Leith, Carl E. Rasmussen
NeurIPS 2001 Infinite Mixtures of Gaussian Process Experts Carl E. Rasmussen, Zoubin Ghahramani
NeurIPS 2001 The Infinite Hidden Markov Model Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen