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:
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆40Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Off the convex path☆67Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Some hard problems for reinforcement learning.☆32Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- ☆69Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Non-stationary Off-policy Evaluation☆13Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Code for doubly stochastic gradients☆26Updated 11 years ago
- gpbo☆25Updated 4 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago