https://github.com/mhw32/antithetic-vae-public
PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
https://github.com/mhw32/antithetic-vae-public
aistats sampling-methods variance-reduction variational-autoencoder variational-inference
Last synced: 7 months ago
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PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
- Host: GitHub
- URL: https://github.com/mhw32/antithetic-vae-public
- Owner: mhw32
- License: mit
- Created: 2018-12-28T20:53:05.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-12-29T18:10:37.000Z (almost 7 years ago)
- Last Synced: 2025-04-14T02:05:02.865Z (7 months ago)
- Topics: aistats, sampling-methods, variance-reduction, variational-autoencoder, variational-inference
- Language: Python
- Homepage:
- Size: 750 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0