mahito-sugiyama / Legendre-decomposition
Legendre decomposition for tensors
☆13Updated 6 years ago
Alternatives and similar repositories for Legendre-decomposition:
Users that are interested in Legendre-decomposition are comparing it to the libraries listed below
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- ☆14Updated 9 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 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
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Python implementation of projection losses.☆25Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆12Updated 5 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- mixed membership stochastic block model☆13Updated 8 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆12Updated 5 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago