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Found 9 papers, 6 papers with code
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
We also introduce gated structured layers, which allow bypassing the parts of the models that fail to capture the statistics of the data.
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most important algorithms of the 20th century.
Automatic structured variational inference
However, the performance of the variational approach depends on the choice of an appropriate variational family.
Joint Distributions for TensorFlow Probability
A central tenet of probabilistic programming is that a model is specified exactly once in a canonical representation which is usable by inference algorithms.
BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding
Fine-tuning language models, such as BERT, on domain specific corpora has proven to be valuable in domains like scientific papers and biomedical text.
Automatic Reparameterisation of Probabilistic Programs
Probabilistic programming has emerged as a powerful paradigm in statistics, applied science, and machine learning: by decoupling modelling from inference, it promises to allow modellers to directly reason about the processes generating data.
Effect Handling for Composable Program Transformations in Edward2
Algebraic effects and handlers have emerged in the programming languages community as a convenient, modular abstraction for controlling computational effects.
Simple, Distributed, and Accelerated Probabilistic Programming
For both a state-of-the-art VAE on 64x64 ImageNet and Image Transformer on 256x256 CelebA-HQ, our approach achieves an optimal linear speedup from 1 to 256 TPUv2 chips.
TensorFlow Distributions
The TensorFlow Distributions library implements a vision of probability theory adapted to the modern deep-learning paradigm of end-to-end differentiable computation.
