ericjang / variance_reduction
Implementation of Variance Reduction Techniques in Julia
☆11Updated 8 years ago
Alternatives and similar repositories for variance_reduction:
Users that are interested in variance_reduction are comparing it to the libraries listed below
- Fun with variational autoencoders.☆11Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ☆11Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- RNNprop☆36Updated 8 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Code for the blog post on GAN stability☆10Updated 8 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Work in progress. Read at your own risk.☆14Updated 9 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)