Eric Bax | DeepAI

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∙ 09/05/2023

Non-asymptotic approximations for Pearson's chi-square statistic and its application to confidence intervals for strictly convex functions of the probability weights of discret

In this paper, we develop a non-asymptotic local normal approximation fo...

0 Eric Bax, et al. ∙

∙ 08/14/2022

Sharp Frequency Bounds for Sample-Based Queries

A data sketch algorithm scans a big data set, collecting a small amount ...

0 Eric Bax, et al. ∙

∙ 09/06/2021

Bounding Means of Discrete Distributions

We introduce methods to bound the mean of a discrete distribution (or fi...

0 Eric Bax, et al. ∙

∙ 04/23/2021

Selecting a number of voters for a voting ensemble

For a voting ensemble that selects an odd-sized subset of the ensemble c...

0 Eric Bax, et al. ∙

∙ 02/20/2020

Heavy Tails Make Happy Buyers

In a second-price auction with i.i.d. (independent identically distribut...

0 Eric Bax, et al. ∙

∙ 11/27/2019

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

This note describes how to collect charges for ad impact on user experie...

0 Eric Bax, et al. ∙

∙ 06/27/2019

Data Consortia

Today, web-based companies use user data to provide and enhance services...

0 Eric Bax, et al. ∙

∙ 05/06/2019

Computing a Data Dividend

Quality data is a fundamental contributor to success in statistics and m...

0 Eric Bax, et al. ∙

∙ 10/04/2016

Ensemble Validation: Selectivity has a Price, but Variety is Free

If classifiers are selected from a hypothesis class to form an ensemble,...

0 Eric Bax, et al. ∙

∙ 10/09/2015

Some Theory For Practical Classifier Validation

We compare and contrast two approaches to validating a trained classifie...

0 Eric Bax, et al. ∙

∙ 03/31/2015

Improved Error Bounds Based on Worst Likely Assignments

Error bounds based on worst likely assignments use permutation tests to ...

0 Eric Bax, et al. ∙

∙ 10/31/2014

Validation of Matching

We introduce a technique to compute probably approximately correct (PAC)...

0 Ya Le, et al. ∙

∙ 10/09/2014

Speculate-Correct Error Bounds for k-Nearest Neighbor Classifiers

We introduce the speculate-correct method to derive error bounds for loc...

0 Eric Bax, et al. ∙

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