| Conditional mean embeddings as regressors S Grunewalder, G Lever, L Baldassarre, S Patterson, A Gretton, M Pontil Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012 | 182* | 2012 |
| Modelling transition dynamics in MDPs with RKHS embeddings S Grünewälder, G Lever, L Baldassarre, A Gretton, M Pontil Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012 | 146 | 2012 |
| Bandits with delayed, aggregated anonymous feedback C Pike-Burke, S Agrawal, C Szepesvari, S Grunewalder International Conference on Machine Learning, 4105-4113, 2018 | 139 | 2018 |
| Regret bounds for Gaussian process bandit problems S Grünewälder, JY Audibert, M Opper, J Shawe–Taylor Proceedings of the thirteenth international conference on artificial …, 2010 | 112 | 2010 |
| Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus) S Grünewälder, F Broekhuis, DW Macdonald, AM Wilson, JW McNutt, ... PloS one 7 (11), e49120, 2012 | 99 | 2012 |
| Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation A Onken, S Grünewälder, MHJ Munk, K Obermayer PLoS computational biology 5 (11), e1000577, 2009 | 67 | 2009 |
| Optimal hunting conditions drive circalunar behavior of a diurnal carnivore F Broekhuis, S Grünewälder, JW McNutt, DW Macdonald Behavioral Ecology 25 (5), 1268-1275, 2014 | 66 | 2014 |
| Recovering bandits C Pike-Burke, S Grunewalder Advances in Neural Information Processing Systems 32, 2019 | 50 | 2019 |
| Construction of Approximation Spaces for Reinforcement Learning. W Böhmer, S Grünewälder, Y Shen, M Musial, K Obermayer Journal of Machine Learning Research 14 (7), 2013 | 30 | 2013 |
| Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis W Böhmer, S Grünewälder, H Nickisch, K Obermayer Machine Learning 89, 67-86, 2012 | 23 | 2012 |
| Regularized sparse kernel slow feature analysis W Böhmer, S Grünewälder, H Nickisch, K Obermayer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 23 | 2011 |
| Smooth operators S Grunewalder, G Arthur, J Shawe-Taylor International Conference on Machine Learning, 1184-1192, 2013 | 21 | 2013 |
| Modeling short-term noise dependence of spike counts in macaque prefrontal cortex A Onken, S Grünewälder, M Munk, K Obermayer Advances in neural information processing systems 21, 2008 | 13 | 2008 |
| Ivanov-regularised least-squares estimators over large RKHSs and their interpolation spaces S Page, S Grünewälder Journal of Machine Learning Research 20 (120), 1-49, 2019 | 12 | 2019 |
| Approximations of the restless bandit problem S Grünewälder, A Khaleghi Journal of Machine Learning Research 20 (14), 1-37, 2019 | 11 | 2019 |
| The optimal unbiased value estimator and its relation to LSTD, TD and MC S Grünewälder, K Obermayer Machine learning 83, 289-330, 2011 | 9 | 2011 |
| Plug-in estimators for conditional expectations and probabilities S Grunewalder International Conference on Artificial Intelligence and Statistics, 1513-1521, 2018 | 8 | 2018 |
| Optimistic planning for the stochastic knapsack problem C Pike-Burke, S Grunewalder Artificial Intelligence and Statistics, 1114-1122, 2017 | 6 | 2017 |
| The Goldenshluger–Lepski method for constrained least-squares estimators over RKHSs S Page, S Grünewälder Bernoulli 27 (4), 2241-2266, 2021 | 5 | 2021 |
| Oblivious data for fairness with kernels S Grünewälder, A Khaleghi Journal of Machine Learning Research 22 (208), 1-36, 2021 | 5 | 2021 |
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
