zi-w / Ensemble-Bayesian-OptimizationLinks
Code repository for Ensemble Bayesian Optimization
☆55Updated 6 years ago
Alternatives and similar repositories for Ensemble-Bayesian-Optimization
Users that are interested in Ensemble-Bayesian-Optimization are comparing it to the libraries listed below
Sorting:
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- ☆50Updated last year
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Bayesian neural network package☆152Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- ☆214Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆31Updated 2 years ago
- ☆19Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- ☆23Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆75Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆41Updated 5 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆272Updated 5 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆64Updated last year
- Collection of hyperparameter optimization benchmark problems☆157Updated 6 months ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Learning error bars for neural network predictions☆72Updated 5 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆19Updated last year
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- Max-value Entropy Search for Efficient Bayesian Optimization☆79Updated 3 years ago