LCSL / FALKON_paper
FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
☆29Updated 4 years ago
Alternatives and similar repositories for FALKON_paper:
Users that are interested in FALKON_paper are comparing it to the libraries listed below
- ☆40Updated 5 years ago
- ☆26Updated 6 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- ☆16Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code for AutoGP☆26Updated 5 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆54Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago