Contact

Dr. Philipp Hennig

Adresse: Spemannstr. 38
72076 Tübingen
Raum Nummer: 226
Tel.: 07071 601 542
Fax: 07071 601 552
E-Mail: phennig

 

Bild von Hennig, Philipp, Dr.

Philipp Hennig

Position: Wissenschaftler  Abteilung: Schölkopf

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Artikel (3):

Hennig P und Kiefel M (März-2013) Quasi-Newton Methods: A New Direction Journal of Machine Learning Research 14 843−865.
Hennig P und Schuler CJ (Juni-2012) Entropy Search for Information-Efficient Global Optimization Journal of Machine Learning Research 13 1809-1837.
Hennig P und Denk W (Dezember-2007) Point-spread functions for backscattered imaging in the scanning electron microscope Journal of Applied Physics 102(12) 1-8.

Beiträge zu Tagungsbänden (6):

Hennig P und Kiefel M (Juli-2012) Quasi-Newton Methods: A New Direction, 29th International Conference on Machine Learning (ICML 2012), International Machine Learning Society, Madison, WI, USA, 25-32.
Bócsi B, Hennig P, Csató L und Peters J (Mai-2012) Learning Tracking Control with Forward Models, IEEE International Conference on Robotics and Automation (ICRA 2012), IEEE, Piscataway, NJ, USA, 259-264.
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Hennig P, Stern D, Herbrich R und Graepel T (April-2012) Kernel Topic Models, Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), International Machine Learning Society, Madison, WI, USA, 511-519, Series: JMLR Workshop and Conference Proceedings ; 22.
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Hennig P (Januar-2012) Optimal Reinforcement Learning for Gaussian Systems In: Advances in Neural Information Processing Systems 24, , Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran, Red Hook, NY, USA, 325-333.
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Bangert M, Hennig P und Oelfke U (Dezember-2010) Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy, Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, Piscataway, NJ, USA, 746-751.
Hennig P, Stern D und Graepel T (Mai-2010) Coherent Inference on Optimal Play in Game Trees, Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), International Machine Learning Society, Madison, WI, USA, 326-333, Series: JMLR Workshop and Conference Proceedings ; 9.
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Technische Berichte (1):

Hennig P: Expectation Propagation on the Maximum of Correlated Normal Variables, Cavendish Laboratory: University of Cambridge, (Juli-2009).

Poster (1):

Hennig P, Stern D und Graepel T (Dezember-2009): Bayesian Quadratic Reinforcement Learning, NIPS 2009 Workshop on Probabilistic Approaches for Robotics and Control, Whistler, BC, Canada.
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Abschlussarbeiten (1):

Hennig P: Approximate Inference in Graphical Models, University of Cambridge, (November-2010). PhD thesis

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Last updated: Montag, 22.05.2017