markm541374 / gpbo
gpbo
☆25Updated 4 years ago
Alternatives and similar repositories for gpbo:
Users that are interested in gpbo are comparing it to the libraries listed below
- ☆47Updated 6 months ago
- ☆16Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- ☆26Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Implementation of the PAC Bayesian GP learning method.☆10Updated 6 years ago
- predicting learning curves in python☆43Updated 7 years ago
- ☆14Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆26Updated 8 years ago
- Multi-Information Source Optimization☆22Updated 5 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆50Updated 8 months ago
- ☆40Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Neural Processes implementation for 1D regression☆65Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Bayesian optimization☆37Updated 5 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆47Updated 5 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆28Updated 7 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago