machinelearningnuremberg / HPO-B
[NeurIPS DBT 2021] HPO-B
☆27Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for HPO-B
- [ICLR 2021] Few Shot Bayesian Optimization☆17Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆22Updated 8 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆47Updated 6 months ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated last year
- Bayesian active learning with EPIG data acquisition☆25Updated 6 months ago
- ☆23Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆15Updated 10 months ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Surrogate benchmarks for HPO problems☆27Updated 3 months ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated last year
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 2 years ago
- ☆10Updated 2 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆15Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 3 years ago
- ☆8Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆46Updated 5 years ago
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆13Updated 2 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆13Updated 7 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆12Updated 3 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆30Updated last year
- ☆44Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated last year
- ☆13Updated 5 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated 9 months ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year