Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels.
Noémie JaquierViacheslav BorovitskiyAndrei SmolenskyAlexander TereninTamim AsfourLeonel Dario RozoPublished in: CoRL (2021)
Keyphrases
- information geometry
- artificial intelligence
- optimization problems
- efficient optimization
- optimization algorithm
- linear combination
- geodesic distance
- gaussian processes
- medial axis
- three dimensional
- kernel machines
- shape analysis
- kernel methods
- bayesian networks
- posterior distribution
- multiple kernel learning
- riemannian manifolds
- feature vectors
- fisher information
- feature space