facebookresearch / aleboLinks
Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
☆41Updated 3 years ago
Alternatives and similar repositories for alebo
Users that are interested in alebo are comparing it to the libraries listed below
Sorting:
- ☆51Updated 11 months ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- ☆19Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- Benchmark functions for Bayesian optimization☆33Updated last year
- ☆22Updated 2 years ago
- ☆16Updated 6 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆37Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆14Updated 3 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- gpbo☆25Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago