activity
20142022
most citedComputing a Data Dividend

4 citations · 7 across the 13 of their papers we have counts for

collaborators

17 papers

cs.LG2022

Sharp Frequency Bounds for Sample-Based Queries

Eric Bax, John Donald

A data sketch algorithm scans a big data set, collecting a small amount of data -- the sketch, which can be used to statistically infer properties of the big data set. Some data sk…

math.ST2021

Bounding Means of Discrete Distributions

Eric Bax, Frédéric Ouimet

We introduce methods to bound the mean of a discrete distribution (or finite population) based on sample data, for random variables with a known set of possible values. In particul…

cs.LG2021★ 2 cited

Selecting a number of voters for a voting ensemble

Eric Bax

For a voting ensemble that selects an odd-sized subset of the ensemble classifiers at random for each example, applies them to the example, and returns the majority vote, we show t…

cs.GT2020

Heavy Tails Make Happy Buyers

Eric Bax

In a second-price auction with i.i.d. (independent identically distributed) bidder valuations, adding bidders increases expected buyer surplus if the distribution of valuations has…

cs.GT2019

Collecting Charges for Ad Impact on User Experience for Different Price Types

Eric Bax

This note describes how to collect charges for ad impact on user experience. The charge may be per-view, to account for impact on user experience from viewing an ad, or per-click,…

cs.CY2019

Data Consortia

Eric Bax, John Donald, Melissa Gerber +4

Today, web-based companies use user data to provide and enhance services to users, both individually and collectively. Some also analyze user data for other purposes, for example t…