Philipp Hennig
73 papers · 2010–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Philipp Hennig?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Bernhard Schölkopf, Alexandra Gessner, Michael Schober
7 papers
· 2013–2021
· AISTATS, ICML, NeurIPS
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Bayesian Quadrature on Riemannian Data Manifolds
ICML 2021
High-Dimensional Gaussian Process Inference with Derivatives
ICML 2021
Integrals over Gaussians under Linear Domain Constraints
AISTATS 2020
Fast and Robust Shortest Paths on Manifolds Learned from Data
AISTATS 2019
Inference of Cause and Effect with Unsupervised Inverse Regression
AISTATS 2015
Probabilistic ODE Solvers with Runge-Kutta Means
NeurIPS 2014
The Randomized Dependence Coefficient
NeurIPS 2013
9 papers whose co-authors appear nowhere else under this name
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
AISTATS 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
NeurIPS 2019
Batch Bayesian Optimization via Local Penalization
AISTATS 2016
Dual Control for Approximate Bayesian Reinforcement Learning
JMLR 2016
Incremental Local Gaussian Regression
NeurIPS 2014
Fast Probabilistic Optimization from Noisy Gradients
ICML 2013
Quasi-Newton Method: A New Direction
JMLR 2013
Entropy Search for Information-Efficient Global Optimization
JMLR 2012
Optimal Reinforcement Learning for Gaussian Systems
NeurIPS 2011