jbr-ai-labs / bbo-challenge-jetbrains-researchLinks
Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
☆21Updated 4 years ago
Alternatives and similar repositories for bbo-challenge-jetbrains-research
Users that are interested in bbo-challenge-jetbrains-research are comparing it to the libraries listed below
Sorting:
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆29Updated 3 years ago
- ☆29Updated 3 years ago
- ☆50Updated last year
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆32Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 6 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 6 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆56Updated 3 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆23Updated 4 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Updated 6 years ago
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆30Updated 10 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 6 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆75Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- PyTorch implementation for the Deep Symbolic Simplification Without Human Knowledge☆14Updated 4 years ago
- ☆44Updated 5 years ago