Bihaqo / TT-MRFLinks
☆14Updated 9 years ago
Alternatives and similar repositories for TT-MRF
Users that are interested in TT-MRF are comparing it to the libraries listed below
Sorting:
- Legendre decomposition for tensors☆13Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 7 years ago
- ☆11Updated last year
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- ☆10Updated 10 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- ☆19Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- ☆25Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Black Box Variational Inference☆14Updated 10 years ago