wouterkool / estimating-gradients-without-replacementLinks
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
☆40Updated 5 years ago
Alternatives and similar repositories for estimating-gradients-without-replacement
Users that are interested in estimating-gradients-without-replacement are comparing it to the libraries listed below
Sorting:
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 5 years ago
- ☆50Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- ☆30Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 6 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 10 months ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Implementation of REBAR in PyTorch☆17Updated 7 years ago
- ☆37Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27Updated 4 years ago