QUVA-Lab / COMBO
☆50Updated 7 months ago
Alternatives and similar repositories for COMBO:
Users that are interested in COMBO are comparing it to the libraries listed below
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆16Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- gpbo☆25Updated 4 years ago
- ☆23Updated 2 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆30Updated 2 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- AISTATS2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization☆8Updated 4 months ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 weeks ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆27Updated 2 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆40Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago