zixu1986 / Doubly_Stochastic_GradientsLinks
Code for doubly stochastic gradients
☆26Updated 11 years ago
Alternatives and similar repositories for Doubly_Stochastic_Gradients
Users that are interested in Doubly_Stochastic_Gradients are comparing it to the libraries listed below
Sorting:
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- ☆40Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆28Updated 7 years ago
- ☆46Updated 7 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆13Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 8 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆40Updated 7 years ago
- ☆13Updated 7 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago