Eugene Brevdo

TL;DR: The TensorFlow interface and an implementation of that interface that is built at Google are described, which has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields.

TL;DR: Tensor2Tensor as mentioned in this paper is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.

TL;DR: The approaches to brushwork analysis and artist identification developed by three research groups are described within the framework of this data set of 101 high-resolution gray-scale scans of paintings within the Van Gogh and Kroller-Muller museums.

TL;DR: Stochastic ensemble value expansion (STEVE), a novel model-based technique that addresses this issue by dynamically interpolating between model rollouts of various horizon lengths for each individual example, outperforms model-free baselines on challenging continuous control benchmarks with an order-of-magnitude increase in sample efficiency.

TL;DR: Edward, a Turing-complete probabilistic programming language, is proposed, which makes it easy to fit the same model using a variety of composable inference methods, ranging from point estimation to variational inference to MCMC.