gianlucadetommaso / Stein-variational-samplersLinks
Python and MATLAB code for Stein Variational sampling methods
☆27Updated 6 years ago
Alternatives and similar repositories for Stein-variational-samplers
Users that are interested in Stein-variational-samplers are comparing it to the libraries listed below
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated this week
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- ☆30Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- ☆28Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Updated 5 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆29Updated 6 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 11 years ago