yiminzme / awesome-bayesian-optimizationLinks
a curated list of bayesian optimization tutorials, papers, softwares
☆32Updated 4 years ago
Alternatives and similar repositories for awesome-bayesian-optimization
Users that are interested in awesome-bayesian-optimization are comparing it to the libraries listed below
Sorting:
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆109Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆69Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆53Updated 6 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Updated 2 years ago
- ☆221Updated last year
- ☆23Updated 3 years ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 7 months ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆57Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆34Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Bayesian Optimization algorithms with various recent improvements☆104Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated 2 years ago
- Bayesian neural network package☆156Updated 4 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆21Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆42Updated 5 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 7 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆19Updated 7 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆82Updated 9 months ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year