eepperly / Randomly-Pivoted-Cholesky
Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
☆28Updated 6 months ago
Alternatives and similar repositories for Randomly-Pivoted-Cholesky:
Users that are interested in Randomly-Pivoted-Cholesky are comparing it to the libraries listed below
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 9 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- ☆52Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated last week
- Matrix-free linear algebra in JAX.☆116Updated 3 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Normalizing Flows using JAX☆83Updated last year
- Riemannian Optimization Using JAX☆48Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆49Updated 11 months ago
- ☆30Updated 2 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆14Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- ☆15Updated 2 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- ☆30Updated 7 months ago
- A generic interface for linear algebra backends☆73Updated last month
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago