Philipp Hennig
Philipp Hennig
University of Tübingen & Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tue.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Entropy Search for Information-Efficient Global Optimization.
P Hennig, CJ Schuler
Journal of Machine Learning Research 13 (6), 2012
4342012
Fast bayesian optimization of machine learning hyperparameters on large datasets
A Klein, S Falkner, S Bartels, P Hennig, F Hutter
Artificial Intelligence and Statistics, 528-536, 2017
2802017
Batch Bayesian optimization via local penalization
J González, Z Dai, P Hennig, N Lawrence
Artificial intelligence and statistics, 648-657, 2016
1982016
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
1722015
The randomized dependence coefficient
D Lopez-Paz, P Hennig, B Schölkopf
arXiv preprint arXiv:1304.7717, 2013
1592013
Probabilistic line searches for stochastic optimization
M Mahsereci, P Hennig
arXiv preprint arXiv:1502.02846, 2015
1002015
Quasi-Newton methods: A new direction
P Hennig, M Kiefel
The Journal of Machine Learning Research 14 (1), 843-865, 2013
952013
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
A Marco, F Berkenkamp, P Hennig, AP Schoellig, A Krause, S Schaal, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 1557-1563, 2017
832017
Probabilistic ODE solvers with Runge-Kutta means
M Schober, D Duvenaud, P Hennig
arXiv preprint arXiv:1406.2582, 2014
832014
Automatic LQR tuning based on Gaussian process global optimization
A Marco, P Hennig, J Bohg, S Schaal, S Trimpe
2016 IEEE international conference on robotics and automation (ICRA), 270-277, 2016
822016
Sampling for inference in probabilistic models with fast Bayesian quadrature
T Gunter, MA Osborne, R Garnett, P Hennig, SJ Roberts
arXiv preprint arXiv:1411.0439, 2014
732014
Active learning of linear embeddings for Gaussian processes
R Garnett, MA Osborne, P Hennig
arXiv preprint arXiv:1310.6740, 2013
682013
Topic models
P Hennig, D Stern, T Graepel, R Herbrich
US Patent 8,645,298, 2014
652014
Gaussian processes and kernel methods: A review on connections and equivalences
M Kanagawa, P Hennig, D Sejdinovic, BK Sriperumbudur
arXiv preprint arXiv:1807.02582, 2018
642018
Coupling adaptive batch sizes with learning rates
L Balles, J Romero, P Hennig
arXiv preprint arXiv:1612.05086, 2016
642016
Probabilistic interpretation of linear solvers
P Hennig
SIAM Journal on Optimization 25 (1), 234-260, 2015
582015
Dense connectomic reconstruction in layer 4 of the somatosensory cortex
A Motta, M Berning, KM Boergens, B Staffler, M Beining, S Loomba, ...
Science 366 (6469), 2019
562019
Incremental local gaussian regression
F Meier, P Hennig, S Schaal
Advances in Neural Information Processing Systems 27, 972-980, 2014
562014
Inference of cause and effect with unsupervised inverse regression
E Sgouritsa, D Janzing, P Hennig, B Schölkopf
Artificial intelligence and statistics, 847-855, 2015
542015
Gaussian process-based predictive control for periodic error correction
ED Klenske, MN Zeilinger, B Schölkopf, P Hennig
IEEE Transactions on Control Systems Technology 24 (1), 110-121, 2015
532015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20