automl / george
Fast Gaussian Processes for regression
☆11Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for george
- ☆47Updated 3 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- gpbo☆25Updated 3 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- ☆16Updated 5 years ago
- Multi-Information Source Optimization☆22Updated 5 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- my PhD thesis on Bayesian inference☆28Updated 11 years ago
- Library for Kernel Online Learning☆11Updated 6 years ago
- Evolving Directed Acyclic Graph☆31Updated last year
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated 5 months ago
- ☆12Updated last year
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆50Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Code for AutoGP☆26Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago
- ☆25Updated last year
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 2 years ago
- ☆30Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- MultiVerse: Probabilistic Programming Language for Causal Reasoning☆9Updated 2 years ago
- ☆17Updated 2 years ago