akuhren / selective_gpLinks
Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".
☆25Updated 3 years ago
Alternatives and similar repositories for selective_gp
Users that are interested in selective_gp are comparing it to the libraries listed below
Sorting:
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- ☆15Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- ☆172Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- Gaussian processes with PyTorch☆30Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 3 weeks ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago