maxc01 / addtree
AISTATS2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
☆8Updated 4 months ago
Alternatives and similar repositories for addtree:
Users that are interested in addtree are comparing it to the libraries listed below
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- ☆40Updated 5 years ago
- ☆50Updated 8 months ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆26Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 weeks ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Updated 2 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 7 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆29Updated 4 years ago
- ☆59Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆47Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- gpbo☆25Updated 4 years ago