jopago / GPyBCM
Bayesian Committee Machines in Python with GPy and multiprocessing
☆17Updated 6 years ago
Alternatives and similar repositories for GPyBCM:
Users that are interested in GPyBCM are comparing it to the libraries listed below
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆60Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Streaming sparse Gaussian process approximations☆64Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 7 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- Bayesian optimization☆37Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 3 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆51Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆72Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆27Updated last month
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 3 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆16Updated last year
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Online variational GPs☆32Updated last year
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Updated 4 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆106Updated 2 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆77Updated 6 months ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Updated 4 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago