32 citations · 37 across the 6 of their papers we have counts for
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cs.LG2020
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang, Nimar Arora, Nazanin Tehrani +3
In order to construct accurate proposers for Metropolis-Hastings Markov Chain Monte Carlo, we integrate ideas from probabilistic graphical models and neural networks in an open-sou…
cs.LG2020
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michał Dereziński, Feynman Liang, Zhenyu Liao +1
It is often desirable to reduce the dimensionality of a large dataset by projecting it onto a low-dimensional subspace. Matrix sketching has emerged as a powerful technique for per…