Bihaqo / TT-MRF
☆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
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Legendre decomposition for tensors☆13Updated 6 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 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
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- ☆40Updated 5 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- ☆11Updated last year
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago