Carl Edward Rasmussen

2009
29	EE	Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters: Gaussian process dynamic programming. Neurocomputing 72(7-9): 1508-1524 (2009)
2008
28	EE	Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters: Model-Based Reinforcement Learning with Continuous States and Actions. ESANN 2008: 19-24
27	EE	Carl Edward Rasmussen, Marc Peter Deisenroth: Probabilistic Inference for Fast Learning in Control. EWRL 2008: 229-242
2006
26	EE	Dilan Görür, Frank Jäkel, Carl Edward Rasmussen: A choice model with infinitely many latent features. ICML 2006: 361-368
2005
25	EE	Carl Edward Rasmussen, Joaquin Quiñonero Candela: Healing the relevance vector machine through augmentation. ICML 2005: 689-696
24	EE	Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf: Evaluating Predictive Uncertainty Challenge. MLCW 2005: 1-27
23	EE	Malte Kuss, Carl Edward Rasmussen: Assessing Approximations for Gaussian Process Classification. NIPS 2005
22	EE	Malte Kuss, Carl Edward Rasmussen: Assessing Approximate Inference for Binary Gaussian Process Classification. Journal of Machine Learning Research 6: 1679-1704 (2005)
21	EE	Joaquin Quiñonero Candela, Carl Edward Rasmussen: A Unifying View of Sparse Approximate Gaussian Process Regression. Journal of Machine Learning Research 6: 1939-1959 (2005)
2004
20		Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese: Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings Springer 2004
19	EE	Matthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf: Semi-supervised Kernel Regression Using Whitened Function Classes. DAGM-Symposium 2004: 18-26
18	EE	Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz: Learning Depth from Stereo. DAGM-Symposium 2004: 245-252
17	EE	Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos Logothetis: Modelling Spikes with Mixtures of Factor Analysers. DAGM-Symposium 2004: 391-398
16	EE	Ananya Dubey, Seungwoo Hwang, Claudia Rangel, Carl Edward Rasmussen, Zoubin Ghahramani, David L. Wild: Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models. Pacific Symposium on Biocomputing 2004: 399-410
2003
15	EE	Carl Edward Rasmussen: Gaussian Processes in Machine Learning. Advanced Lectures on Machine Learning 2003: 63-71
14	EE	Joaquin Quiñonero Candela, Carl Edward Rasmussen: Analysis of Some Methods for Reduced Rank Gaussian Process Regression. European Summer School on Multi-AgentControl 2003: 98-127
13	EE	Carl Edward Rasmussen, Malte Kuss: Gaussian Processes in Reinforcement Learning. NIPS 2003
12	EE	Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf: Prediction on Spike Data Using Kernel Algorithms. NIPS 2003
11	EE	Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani: Warped Gaussian Processes. NIPS 2003
2002
10	EE	E. Solak, Roderick Murray-Smith, William E. Leithead, Douglas J. Leith, Carl Edward Rasmussen: Derivative Observations in Gaussian Process Models of Dynamic Systems. NIPS 2002: 1033-1040
9	EE	Carl Edward Rasmussen, Zoubin Ghahramani: Bayesian Monte Carlo. NIPS 2002: 489-496
8	EE	Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith: Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting. NIPS 2002: 529-536
2001
7	EE	Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen: The Infinite Hidden Markov Model. NIPS 2001: 577-584
6	EE	Carl Edward Rasmussen, Zoubin Ghahramani: Infinite Mixtures of Gaussian Process Experts. NIPS 2001: 881-888
2000
5		Carl Edward Rasmussen, Zoubin Ghahramani: Occam's Razor. NIPS 2000: 294-300
1999
4	EE	Carl Edward Rasmussen: The Infinite Gaussian Mixture Model. NIPS 1999: 554-560
3	EE	Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen: Bayesian Modelling of fMRI lime Series. NIPS 1999: 754-760
1995
2	EE	Christopher K. I. Williams, Carl Edward Rasmussen: Gaussian Processes for Regression. NIPS 1995: 514-520
1	EE	Carl Edward Rasmussen: A Practical Monte Carlo Implementation of Bayesian Learning. NIPS 1995: 598-604

Coauthor Index

1	Gökhan H. Bakir	[18]
2	Matthew J. Beal	[7]
3	Olivier Bousquet	[24]
4	Heinrich H. Bülthoff	[20]
5	Joaquin Quiñonero Candela	[8] [14] [18] [21] [24] [25]
6	Marc Peter Deisenroth	[27] [28] [29]
7	Ananya Dubey	[16]
8	Jan Eichhorn	[12]
9	Matthias O. Franz	[18] [19]
10	Zoubin Ghahramani	[5] [6] [7] [9] [11] [16]
11	Martin A. Giese	[20]
12	Agathe Girard	[8]
13	Dilan Görür	[17] [26]
14	Lars Kai Hansen	[3]
15	Pedro A. d. F. R. Højen-Sørensen	[3]
16	Seungwoo Hwang	[16]
17	Frank Jäkel	[26]
18	Malte Kuss	[12] [13] [22] [23]
19	Younghee Kwon	[19]
20	Douglas J. Leith	[10]
21	William E. Leithead	[10]
22	Nikos Logothetis	[12] [17]
23	Roderick Murray-Smith	[8] [10]
24	Jan Peters	[28] [29]
25	Claudia Rangel	[16]
26	Bernhard Schölkopf	[12] [19] [20] [24]
27	Fabian H. Sinz	[17] [18] [24]
28	Edward Snelson	[11]
29	E. Solak	[10]
30	Andreas S. Tolias	[12] [17]
31	Jason Weston	[12]
32	David L. Wild	[16]
33	Christopher K. I. Williams	[2]
34	Alexander Zien	[12]

Colors in the list of coauthors