Search Results for author:
Found 4 papers, 3 papers with code
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
In this context, we study a content exploration task, which we formalize as a multi-armed bandit problem with delayed rewards.
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds
We evaluate our method on several benchmark and self-acquired point clouds, compare it to a range of existing methods, demonstrate its application in downstream tasks of registration and surface reconstruction, and show that our method is competitive both in terms of empirical performance and computational efficiency.
Shallow and Deep Nonparametric Convolutions for Gaussian Processes
A key challenge in the practical application of Gaussian processes (GPs) is selecting a proper covariance function.
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
Effectively modeling phenomena present in highly nonlinear dynamical systems whilst also accurately quantifying uncertainty is a challenging task, which often requires problem-specific techniques.
