lfbo-ml / lfboLinks
Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
☆44Updated 3 years ago
Alternatives and similar repositories for lfbo
Users that are interested in lfbo are comparing it to the libraries listed below
Sorting:
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- [ICLR 2022] Path integral sampler☆50Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 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
- ☆54Updated last year
- ☆63Updated last year
- ☆30Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- ☆50Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Updated 7 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- ☆67Updated 6 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆50Updated 3 years ago