XZT008 / Standard-GP-is-all-you-need-for-HDBOLinks
Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
☆15Updated 2 months ago
Alternatives and similar repositories for Standard-GP-is-all-you-need-for-HDBO
Users that are interested in Standard-GP-is-all-you-need-for-HDBO are comparing it to the libraries listed below
Sorting:
- SAASBO: a package for high-dimensional bayesian optimization☆45Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆60Updated 2 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆96Updated 5 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 4 months ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆33Updated last year
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆14Updated 6 months ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆85Updated 9 months ago
- A Bayesian optimization toolbox built on TensorFlow☆240Updated last week
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆77Updated 10 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated last month
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆19Updated 2 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- ☆30Updated 6 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated 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
- Joint entropy search☆19Updated 2 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆61Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 5 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- ☆206Updated last year
- SR based on LLMs.☆112Updated 2 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆107Updated 2 years ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago