lfbo-ml / lfbo
Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
☆44Updated 2 years ago
Alternatives and similar repositories for lfbo:
Users that are interested in lfbo are comparing it to the libraries listed below
- [ICLR 2022] Path integral sampler☆43Updated last year
- ☆31Updated 4 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆49Updated 4 years ago
- ☆53Updated 6 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Baselines for Model-Based Optimization☆51Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated last year
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 6 months ago
- Benchmark functions for Bayesian optimization☆33Updated 11 months ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- ☆24Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆48Updated 3 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆45Updated 4 years ago
- ☆18Updated 3 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- ☆15Updated 4 years ago