wouterkool / estimating-gradients-without-replacement
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
☆39Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for estimating-gradients-without-replacement
- ☆31Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- ☆49Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 5 years ago
- ☆37Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Measuring compositionality in representation learning☆70Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- A Python implementation of the gradient REBAR estimator.☆45Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- This repository is no longer maintained. Check☆82Updated 4 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- ☆11Updated 3 years ago
- ☆26Updated 5 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago