LCSL / blessLinks
Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA
☆17Updated 2 years ago
Alternatives and similar repositories for bless
Users that are interested in bless are comparing it to the libraries listed below
Sorting:
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆13Updated 6 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Code for "Fast Unbalanced Optimal Transport on a Tree" (NeurIPS 2020)☆13Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Updated 6 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 3 years ago
- Examples of more involved applications using Geomstats☆33Updated 4 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
- Code for doubly stochastic gradients☆26Updated 11 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 7 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- ☆67Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Randomized Tensor Decompositions☆30Updated 9 years ago
- Physarum Powered Differentiable Linear Programming Layers☆18Updated 4 years ago
- ☆11Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Legendre decomposition for tensors☆13Updated 7 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆58Updated 6 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago