4 citations · 7 across the 13 of their papers we have counts for
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cs.GT2014
Incorporating Hidden Costs of Annoying Ads in Display Auctions
Valeria Stourm, Eric Bax
Media publisher platforms often face an effectiveness-nuisance tradeoff: more annoying ads can be more effective for some advertisers because of their ability to attract attention,…
cs.LG2014
Validation of Matching
Ya Le, Eric Bax, Nicola Barbieri +3
We introduce a technique to compute probably approximately correct (PAC) bounds on precision and recall for matching algorithms. The bounds require some verified matches, but those…
cs.LG2014
Speculate-Correct Error Bounds for k-Nearest Neighbor Classifiers
Eric Bax, Lingjie Weng, Xu Tian
We introduce the speculate-correct method to derive error bounds for local classifiers. Using it, we show that k nearest neighbor classifiers, in spite of their famously fractured…