zalanborsos / online-variance-reductionLinks
Online Variance Reduction
☆14Updated 6 years ago
Alternatives and similar repositories for online-variance-reduction
Users that are interested in online-variance-reduction are comparing it to the libraries listed below
Sorting:
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Off the convex path☆67Updated 2 years ago
- ☆26Updated 6 years ago
- gpbo☆25Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆170Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆69Updated 7 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago