LCSL / NystromCoReLinks
Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.
☆12Updated 6 years ago
Alternatives and similar repositories for NystromCoRe
Users that are interested in NystromCoRe are comparing it to the libraries listed below
Sorting:
- ☆40Updated 6 years ago
- Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA☆17Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Code for doubly stochastic gradients☆26Updated 11 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- This repository contains an implementation of the Batch-BKB algorithm as described in the ICML 2020 paper "Near-linear time Gaussian proc…☆13Updated 5 years ago
- Deep convolutional gaussian processes.☆81Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆30Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- gpbo☆25Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆12Updated 3 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago