aboustati / vargrad
Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
☆12Updated 4 years ago
Alternatives and similar repositories for vargrad:
Users that are interested in vargrad are comparing it to the libraries listed below
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆49Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆31Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆53Updated 7 months ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated last week
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- ☆37Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- ☆80Updated 3 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year