Philipp Hennig
University of Tübingen(DE)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Neural Networks and Applications, Machine Learning and Algorithms, Advanced Multi-Objective Optimization Algorithms
Most-Cited Works
- → Entropy search for information-efficient global optimization(2012)482 cited
- → Dense connectomic reconstruction in layer 4 of the somatosensory cortex(2019)354 cited
- → Fast Bayesian Optimization of Machine Learning Hyperparameters on Large\n Datasets(2016)317 cited
- → Batch Bayesian Optimization via Local Penalization(2015)218 cited
- → Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences(2018)193 cited
- → Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization(2017)109 cited
- → The Randomized Dependence Coefficient(2013)105 cited
- → Gaussian Process-Based Predictive Control for Periodic Error Correction(2015)99 cited
- → Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients(2017)78 cited