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Srinivas Vasudevan

2 accepted papers

2022

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC

ICLR 2022poster

Learning energy-based model (EBM) requires MCMC sampling of the learned model as an inner loop of the learning algorithm. However, MCMC sampling of EBMs in high-dimensional data space is generally not mixing, because the energy function, which is usually parametrized by deep network, is highly multi…

Cited by 31SourcePDFScholar
2018

Simple, Distributed, and Accelerated Probabilistic Programming

NeurIPS 2018poster

We describe a simple, low-level approach for embedding probabilistic programming in a deep learning ecosystem. In particular, we distill probabilistic programming down to a single abstraction—the random variable. Our lightweight implementation in TensorFlow enables numerous applications: a model-par…