mishapadidar / GP-Derivatives-Variational-InferenceLinks
☆14Updated 3 years ago
Alternatives and similar repositories for GP-Derivatives-Variational-Inference
Users that are interested in GP-Derivatives-Variational-Inference are comparing it to the libraries listed below
Sorting:
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- ☆15Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- ☆9Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆19Updated last year
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- ☆28Updated 3 months ago
- Variational Implicit Processes☆9Updated 6 years ago
- Python model for constrained GP☆24Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 4 years ago
- ☆22Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 2 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Continual Gaussian Processes☆32Updated last year
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Offline Contextual Bayesian Optimization☆14Updated last year
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Bayesian active learning with EPIG data acquisition☆32Updated last month