Dr Steffen Grunewalder

Lecturer in Statistics

Optimistic planning for the stochastic knapsack problem
Pike-Burke, C., Grunewalder, S. 20/04/2017 In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. p. 1114-1122. 9 p.
Conference contribution

Approximations of the Restless Bandit Problem
Grunewalder, S., Khaleghi, A. 22/02/2017 In: arXiv.
Journal article

Optimal hunting conditions drive circalunar behavior of a diurnal canivore
Broekhuis, F., Grunewalder, S., McNutt, J., Macdonald, D.W. 09/2014 In: Behavioral Ecology. 25, 5, p. 1268-1275. 8 p.
Journal article

Construction of approximation spaces for reinforcement learning
Böhmer, W., Grunewalder, S., Shen, Y., Musial, M., Obermayer, K. 2013 In: Journal of Machine Learning Research. 14, p. 2067-2118. 52 p.
Journal article

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)
Grunewalder, S., Broekhuis, F., MacDonald, D.W., Wilson, A.M., McNutt, J.W., Shawe-Taylor, J., Hailes, S. 19/11/2012 In: PLoS ONE. 7, 11, 11 p.
Journal article

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis
Böhmer, W., Grunewalder, S., Nickisch, H., Obermayer, K. 10/2012 In: Machine Learning. 89, 1, p. 67-86. 20 p.
Journal article

Modelling transition dynamics in MDPs with RKHS embeddings
Grunewalder, S., Lever, G., Baldassarre, L., Pontil, M., Gretton, A. 30/04/2012 In: Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012.
Conference contribution

Conditional mean embeddings as regressors
Grunewalder, S., Lever, G., Gretton, A., Baldassarre, L., Patterson, S., Pontil, M. 2012 In: Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, 2012.
Paper

The optimal unbiased value estimator and its relation to LSTD, TD and MC
Grunewalder, S., Obermayer, K. 06/2011 In: Machine Learning. 83, 3, p. 289-330. 42 p.
Journal article

Regularized sparse kernel slow feature analysis
Böhmer, W., Grunewalder, S., Nickisch, H., Obermayer, K. 2011 In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2011. Berlin : Springer p. 235-248. 14 p. ISBN: 9783642237799. Electronic ISBN: 9783642237805.
Conference contribution

Regret bounds for Gaussian process bandit problems
Grunewalder, S., Audibert, J., Opper, M., Shawe-Taylor, J. 2010 In: Artificial Intelligence and Statistics (AISTATS). p. 273-280. 8 p.
Conference contribution

Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation
Onken, A., Grunewalder, S., Munk, M.H.J., Obermayer, K. 26/11/2009 In: PLoS Computational Biology. 5, 11, 13 p.
Journal article

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
Onken, A., Grunewalder, S., Obermayer, K. 2009 In: Advances in Neural Information Processing Systems (NIPS). p. 1-9. 9 p.
Conference contribution

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Onken, A., Grunewalder, S., Munk, M., Obermayer, K. 2008 In: Advances in Neural Information Processing Systems 21 (NIPS 2008).
Conference contribution

Optimality of LSTD and its relation to MC
Grunewalder, S., Hochreiter, S., Obermayer, K. 2007 In: International Joint Conference on Neural Networks, 2007. IJCNN 2007. IEEE ISBN: 9781424413799. Electronic ISBN: 9781424413805.
Conference contribution

Attention driven memory
Grunewalder, S., Obermayer, K. 2005 In: CogSci 2005. Cognitive Science Society p. 845-850. 6 p. ISBN: 0976831813.
Conference contribution