Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels.
Noémie JaquierViacheslav BorovitskiyAndrei SmolenskyAlexander TereninTamim AsfourLeonel Dario RozoPublished in: CoRR (2021)
Keyphrases
- information geometry
- computer vision
- artificial intelligence
- optimization algorithm
- three dimensional
- bayesian networks
- optimization problems
- kernel function
- kernel methods
- geodesic distance
- riemannian manifolds
- tangent space
- gaussian processes
- efficient optimization
- representer theorem
- kernel machines
- shape analysis
- high dimensional