Home > Research > Researchers > Dr Steffen Grunewalder > Publications

Dr Steffen Grunewalder

Lecturer

  1. 2020
  2. Published

    Oblivious Data for Fairness with Kernels

    Grunewalder, S. & Khaleghi, A., 7/02/2020, In : arXiv. 16 p.

    Research output: Contribution to journalJournal article

  3. 2019
  4. Published

    Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces

    Page, S. & Grunewalder, S., 1/09/2019, In : Journal of Machine Learning Research. 20, p. 1-49 49 p.

    Research output: Contribution to journalJournal article

  5. Published

    Approximations of the Restless Bandit Problem

    Grunewalder, S. & Khaleghi, A., 1/02/2019, In : Journal of Machine Learning Research. 20, 14, 37 p.

    Research output: Contribution to journalJournal article

  6. 2018
  7. Published

    Bandits with Delayed, Aggregated Anonymous Feedback

    Pike-Burke, C., Agrawal, S., Szepesvari, C. & Grunewalder, S., 15/07/2018, Proceedings of the International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. (ed.). PMLR, p. 4105-4123 19 p. (Proceedings of Machine Learning Research; vol. 80).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  8. Published

    Compact Convex Projections

    Grunewalder, S., 1/04/2018, In : Journal of Machine Learning Research. 18, 219, p. 1-43 43 p.

    Research output: Contribution to journalJournal article

  9. Published

    Plug-in Estimators for Conditional Expectations and Probabilities

    Grunewalder, S., 1/04/2018, Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Storkey, A. & Perez-Cruz, F. (eds.). PMLR, p. 1513-1521 9 p. (Proceedings of Machine Learning Research; vol. 84).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  10. Published

    The Goldenshluger-Lepski Method for Constrained Least-Squares Estimators over RKHSs

    Page, S. & Grunewalder, S., 2018, In : arXiv.

    Research output: Contribution to journalJournal article

  11. 2017
  12. Published

    Optimistic planning for the stochastic knapsack problem

    Pike-Burke, C. & Grunewalder, S., 20/04/2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. p. 1114-1122 9 p. (Proceedings of Machine Learning Research; vol. 54).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  13. Published

    Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces

    Page, S. & Grunewalder, S., 2017, In : arXiv.

    Research output: Contribution to journalJournal article

  14. 2014
  15. Published

    Optimal hunting conditions drive circalunar behavior of a diurnal canivore

    Broekhuis, F., Grunewalder, S., McNutt, J. W. & Macdonald, D. W., 09/2014, In : Behavioral Ecology. 25, 5, p. 1268-1275 8 p.

    Research output: Contribution to journalJournal article

  16. 2013
  17. Published

    Smooth Operators

    Grunewalder, S., Gretton, A. & Shawe-Taylor, J., 16/06/2013, Proceedings of the 30th International Conference on Machine Learning. PMLR, Vol. 28. p. 1184-1192 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  18. Published

    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.

    Research output: Contribution to journalJournal article

  19. 2012
  20. Published

    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., 49120.

    Research output: Contribution to journalJournal article

  21. Published

    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.

    Research output: Contribution to journalJournal article

  22. Published

    Conditional mean embeddings as regressors

    Grunewalder, S., Lever, G., Gretton, A., Baldassarre, L., Patterson, S. & Pontil, M., 2012, Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, 2012. 898

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  23. Published

    Modelling transition dynamics in MDPs with RKHS embeddings

    Grunewalder, S., Lever, G., Baldassarre, L., Pontil, M. & Gretton, A., 2012, Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  24. 2011
  25. Published

    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.

    Research output: Contribution to journalJournal article

  26. Published

    Regularized sparse kernel slow feature analysis

    Böhmer, W., Grunewalder, S., Nickisch, H. & Obermayer, K., 2011, Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2011. Gunopulos, D., Hoffmann, T., Malerba, D. & Vazirgiannis, M. (eds.). Berlin: Springer, p. 235-248 14 p. (Lecture Notes in Computer Science; vol. 6911).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  27. 2010
  28. Published

    Regret bounds for Gaussian process bandit problems

    Grunewalder, S., Audibert, J-Y., Opper, M. & Shawe-Taylor, J., 2010, Artificial Intelligence and Statistics (AISTATS). p. 273-280 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  29. 2009
  30. Published

    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., e1000577.

    Research output: Contribution to journalJournal article

  31. Published

    Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies

    Onken, A., Grunewalder, S. & Obermayer, K., 2009, Advances in Neural Information Processing Systems (NIPS). Bengio, Y., Schuurmans, D., Lafferty, J. D., Williams, C. K. I. & Culotta, A. (eds.). Vol. 22. p. 1-9 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  32. 2008
  33. Published

    Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex

    Onken, A., Grunewalder, S., Munk, M. & Obermayer, K., 2008, Advances in Neural Information Processing Systems 21 (NIPS 2008).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  34. 2007
  35. Published

    Optimality of LSTD and its relation to MC

    Grunewalder, S., Hochreiter, S. & Obermayer, K., 2007, International Joint Conference on Neural Networks, 2007. IJCNN 2007. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  36. 2005
  37. Published

    Attention driven memory

    Grunewalder, S. & Obermayer, K., 2005, CogSci 2005: XXVII Annual Conference of the Cognitive Science Society July 21-23 Stresa, Italy. Bara, B. G., Barsalou, L. & Bucciarelli, M. (eds.). Cognitive Science Society, p. 845-850 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Back to top