jparkerholder / PB2Links
Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
☆20Updated 4 years ago
Alternatives and similar repositories for PB2
Users that are interested in PB2 are comparing it to the libraries listed below
Sorting:
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- A learning curve benchmark on OpenML data☆33Updated last year
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 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
- [ICLR 2021] Few Shot Bayesian Optimization☆22Updated 3 years ago
- Introducing diverse tasks for NAS☆51Updated 3 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 4 years ago
- ☆45Updated 3 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆34Updated 3 years ago
- ☆53Updated 3 years ago
- Simple implementation of GP-UCB algorithm.☆54Updated 9 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆19Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆42Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Collection of hyperparameter optimization benchmark problems☆160Updated 8 months ago
- [NeurIPS DBT 2021] HPO-B☆41Updated 3 months ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆64Updated 3 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Updated 4 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆99Updated 4 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- ☆18Updated 4 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆39Updated 4 months ago