paulruvolo / ELLA
☆19Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for ELLA
- Code for the ICML 2013 and AAAI 2013 papers on ELLA☆12Updated 7 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆107Updated 7 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 5 years ago
- Joint distribution optimal transportation for domain adaptation☆93Updated 6 years ago
- ☆42Updated 6 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 8 years ago
- ☆40Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆134Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Deep Generative Models with Stick-Breaking Priors☆94Updated 8 years ago
- ☆13Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆64Updated 4 years ago
- ☆64Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆139Updated 8 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 4 months ago
- ☆24Updated 7 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆25Updated 5 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago