mahito-sugiyama / Legendre-decomposition
Legendre decomposition for tensors
☆12Updated 5 years ago
Related projects: ⓘ
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 4 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆24Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- ☆13Updated 9 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 8 years ago
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆17Updated 4 years ago
- ☆9Updated 7 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆27Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Code for the Santa algorithm for deep learning☆17Updated 6 years ago
- Python implementation of projection losses.☆25Updated 4 years ago
- Proximal algorithms and operators in python☆25Updated 5 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆25Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆66Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Updated 4 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 6 years ago
- ☆11Updated 8 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 9 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 8 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago