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math.ST2021
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
Daniel Kang, John Guibas, Peter Bailis +3
Given a dataset , we are interested in computing the mean of a subset of which matches a predicate. ABae leverages stratified sampling and proxy models t…
cs.LG2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Self-training is a standard approach to semi-supervised learning where the learner's own predictions on unlabeled data are used as supervision during training. In this paper, we re…