Runjing-Liu120 / RaoBlackwellizedSGD
A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
☆22Updated 5 years ago
Alternatives and similar repositories for RaoBlackwellizedSGD:
Users that are interested in RaoBlackwellizedSGD are comparing it to the libraries listed below
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆49Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- ☆31Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 6 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 4 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- ☆37Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆42Updated 5 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- ☆18Updated 2 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago