yorkerlin / VB-MixEF
Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"
☆18Updated 4 years ago
Alternatives and similar repositories for VB-MixEF:
Users that are interested in VB-MixEF are comparing it to the libraries listed below
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated last month
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Black Box Variational Inference☆14Updated 9 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Continual Gaussian Processes☆32Updated last year
- A collection of Gaussian process models☆30Updated 7 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- ☆28Updated 6 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- ☆40Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Deep universal probabilistic programming with Python and PyTorch☆11Updated 4 years ago