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Dr Steffen Grunewalder

Formerly at Lancaster University

  1. 2021
  2. Published

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

    Page, S. & Grunewalder, S., 30/11/2021, In: Bernoulli. 27, 4, p. 2241 - 2266 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Oblivious Data for Fairness with Kernels

    Grunewalder, S. & Khaleghi, A., 31/08/2021, In: Journal of Machine Learning Research. 22, 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. 2019
  5. 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 Journal/MagazineJournal articlepeer-review

  6. Published

    Approximations of the Restless Bandit Problem

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

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. 2018
  8. 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/Paperpeer-review

  9. 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 Journal/MagazineJournal articlepeer-review

  10. 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/Paperpeer-review

  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/Paperpeer-review

  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 Journal/MagazineJournal 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 Journal/MagazineJournal articlepeer-review

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