Publikationen von P Hennig

Hennig, P.; Kiefel, M.: Quasi-Newton Methods: A New Direction. Journal of Machine Learning Research 14, S. 843 - 865 (2013)

Hennig, P.; Schuler, C.: Entropy Search for Information-Efficient Global Optimization. Journal of Machine Learning Research 13, S. 1809 - 1837 (2012)

Hennig, P.; Denk, W.: Point-spread functions for backscattered imaging in the scanning electron microscope. Journal of Applied Physics 102 (12), 123101, S. 1 - 8 (2007)

Hennig, P.; Kiefel, M.: Quasi-Newton Methods: A New Direction. In: 29th International Conference on Machine Learning (ICML 2012), S. 25 - 32 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)

Bócsi, B.; Hennig, P.; Csató, L.; Peters, J.: Learning Tracking Control with Forward Models. In: IEEE International Conference on Robotics and Automation (ICRA 2012), S. 259 - 264. IEEE International Conference on Robotics and Automation (ICRA 2012), St. Paul, MN, USA. IEEE, Piscataway, NJ, USA (2012)

Hennig, P.; Stern, D.; Herbrich, R.: Kernel Topic Models. In: Artificial Intelligence and Statistics, 21-23 April 2012, La Palma, Canary Islands, S. 511 - 519 (Hg. Lawrence, N.; Girolami, M.). Fifteenth International Conference on Artificial Intelligence and Statistics (AI Statistics 2012), La Palma, Spain, 21. April 2012 - 23. April 2012. International Machine Learning Society, Madison, WI, USA (2012)

Hennig, P.: Optimal Reinforcement Learning for Gaussian Systems. In: Advances in Neural Information Processing Systems 24, S. 325 - 333 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)

Bangert, M.; Hennig, P.; Oelfke, U.: Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy. In: Ninth International Conference on Machine Learning and Applications (ICMLA 2010), S. 746 - 751 (Hg. Draghici, S.; Khoshgoftaar, T.; Palade, V.; Pedrycz, W.; Wani, M. et al.). Ninth International Conference on Machine Learning and Applications (ICMLA 2010), Washington, DC, USA, 12. Dezember 2010 - 14. Dezember 2010. IEEE, Piscataway, NJ, USA (2010)

Hennig, P.; Stern, D.; Graepel, T.: Coherent Inference on Optimal Play in Game Trees. In: JMLR Workshop and Conference Proceedings, Bd. 9, S. 326 - 333 (Hg. Teh, Y.; Titterington, M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, 13. Mai 2010 - 15. Mai 2010. JMLR, Cambridge, MA, USA (2010)

Hennig, P.; Stern, D.; Graepel, T.: Bayesian Quadratic Reinforcement Learning. NIPS 2009 Workshop on Probabilistic Approaches for Robotics and Control, Whistler, BC, Canada (2009)

Hennig, P.: Approximate Inference in Graphical Models. Dissertation, 157 S., University of Cambridge, Cambridge, UK (2010)

Hennig, P.: Expectation Propagation on the Maximum of Correlated Normal Variables. (2009), 11 S.