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All publications by Hannes Nickisch
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Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson and Hannes Nickisch
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch and Alex Smola
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch and Carl E. Rasmussen
Advances in Neural Information Processing Systems 24, 2011


Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias W. Seeger and Hannes Nickisch
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Convex variational Bayesian inference for large scale generalized linear models
Hannes Nickisch and Matthias Seeger
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Compressed sensing and Bayesian experimental design
Hannes Nickisch and Matthias Seeger
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008