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Human Aspects of Machine Learning

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Perceiving Systems Empirical Inference Probabilistic Numerics Conference Paper Quasi-Newton Methods: A New Direction Hennig, P., Kiefel, M. In Proceedings of the 29th International Conference on Machine Learning, 25-32, ICML ’12, (Editors: John Langford and Joelle Pineau), Omnipress, New York, NY, USA, ICML, July 2012 website+code pdf URL BibTeX
Empirical Inference Probabilistic Numerics Article Entropy Search for Information-Efficient Global Optimization Hennig, P., Schuler, C. Journal of Machine Learning Research, 13:1809-1837, -, June 2012 PDF Web BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Learning Tracking Control with Forward Models Bócsi, B., Hennig, P., Csató, L., Peters, J. In 259 -264, IEEE International Conference on Robotics and Automation (ICRA 2012), May 2012 PDF Web DOI BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Approximate Gaussian Integration using Expectation Propagation Cunningham, J., Hennig, P., Lacoste-Julien, S. In 1-11, -, January 2012 (Submitted) Web BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Kernel Topic Models Hennig, P., Stern, D., Herbrich, R., Graepel, T. In Fifteenth International Conference on Artificial Intelligence and Statistics, 22:511-519, JMLR Proceedings, (Editors: Lawrence, N. D. and Girolami, M.), JMLR.org, AISTATS 2012 , 2012 PDF Web BibTeX
Empirical Inference Probabilistic Numerics Thesis Nonparametric System Identification and Control for Periodic Error Correction in Telescopes Klenske, E. D. University of Stuttgart, 2012 (Published) PDF BibTeX