HIPS / author-rouletteLinks
LaTeX package for randomizing author order based on a public seed.
☆40Updated 10 years ago
Alternatives and similar repositories for author-roulette
Users that are interested in author-roulette are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- ☆17Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Functional ANOVA☆125Updated 4 months ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- ☆16Updated 2 months ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Nonlinear Information Bottleneck☆54Updated 3 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- An expressive shorthand to describe a deep learning architecture☆73Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago