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Runjing Liu

2 accepted papers

2019

A Swiss Army Infinitesimal Jackknife

AISTATS 2019poster

The error or variability of machine learning algorithms is often assessed by repeatedly refitting a model with different weighted versions of the observed data. The ubiquitous tools of cross-validation (CV) and the bootstrap are examples of this technique. These methods are powerful in large part du…

2019

Rao-Blackwellized Stochastic Gradients for Discrete Distributions

ICML 2019oral

We wish to compute the gradient of an expectation over a finite or countably infinite sample space having K $\leq$ $\infty$ categories. When K is indeed infinite, or finite but very large, the relevant summation is intractable. Accordingly, various stochastic gradient estimators have been proposed.…