Validation of average error rate over classifiers. - Eric Bax (Pattern Recognit. Lett., 1998)

Finite-difference algorithms for counting problems. - Eric Bax (1998)

Validation of fusion through linear programming. - Eric Bax (IJCNN, 1999)

Improved Hoeffding-style performance guarantees for accurate classifiers. - Eric Bax (Pattern Recognit. Lett., 1999)

Partition-based and sharp uniform error bounds. - Eric Bax (IEEE Trans. Neural Networks, 1999)

Using Validation by Inference to Select a Hypothesis Function. - Eric Bax (ICPR, 2000)

Validation of nearest neighbor classifiers. - Eric Bax (IEEE Trans. Inf. Theory, 2000)

An Event Processing Language (EPL) for Building Sense and Respond Applications. - Elli Albek; Eric Bax; Greg Billock; K. Mani Chandy; Ian Swett (IPDPS, 2005)

Nearly Uniform Validation Improves Compression-Based Error Bounds. - Eric Bax (J. Mach. Learn. Res., 2008)

An Error Bound Based on a Worst Likely Assignment. - Eric Bax; Augusto Callejas (J. Mach. Learn. Res., 2008)

Validation of Network Classifiers. - James Li; Abdullah Sonmez; Zehra Cataltepe; Eric Bax (SSPR/SPR, 2012)

Validation of k-Nearest Neighbor Classifiers. - Eric Bax (IEEE Trans. Inf. Theory, 2012)

Validation of k-Nearest Neighbor Classifiers Using Inclusion and Exclusion. - Eric Bax; Lingjie Weng; Xu Tian (CoRR, 2014)

Validation of Network Reconciliation. - Ya Le; Eric Bax; Nicola Barbieri; David García-Soriano; Jitesh Mehta; James Li (CoRR, 2014)

Pigovian Taxes Can Increase Platform Competitiveness: The Case of Online Display Advertising. - Valeria Stourm; Eric Bax (CoRR, 2014)

Improved error bounds based on worst likely assignments. - Eric Bax (IJCNN, 2015)

Some Theory For Practical Classifier Validation. - Eric Bax; Ya Le (CoRR, 2015)

Exponential Weight Functions for Quasi-Proportional Auctions. - Eric Bax; James Li; Zheng Wen (CoRR, 2015)

Portfolio Allocation for Sellers in Online Advertising. - Ragavendran Gopalakrishnan; Eric Bax; Krishna Prasad Chitrapura; Sachin Garg (CoRR, 2015)

VCG Payments for Portfolio Allocations in Online Advertising. - James Li; Eric Bax; Nilanjan Roy; Andrea Leistra (CoRR, 2015)

Selecting Weight Functions to Spur Competition in Quasi-Proportional Auctions. - Zheng Wen; Eric Bax; James Li (CoRR, 2015)

Validation of matching. - Ya Le; Eric Bax; Nicola Barbieri; David García-Soriano; Jitesh Mehta; James Li (IJCNN, 2016)

iPhone's Digital Marketplace: Characterizing the Big Spenders. - Farshad Kooti; Mihajlo Grbovic; Luca Maria Aiello; Eric Bax; Kristina Lerman (WSDM, 2017)

Sharp Frequency Bounds for Sample-Based Queries. - Eric Bax; John Donald (IEEE BigData, 2019)

Ensemble Validation: Selectivity has a Price, but Variety is Free. - Eric Bax; Farshad Kooti (IJCNN, 2019)

Computing a Data Dividend. - Eric Bax (CoRR, 2019)

Data Consortia. - Eric Bax; John Donald; Melissa Gerber; Lisa Giaffo; Tanisha Sharma; Nikki Thompson; Kimberly Williams (CoRR, 2019)

Collecting Charges for Ad Impact on User Experience for Different Price Types. - Eric Bax (CoRR, 2019)

Speculate-correct error bounds for k-nearest neighbor classifiers. - Eric Bax; Lingjie Weng; Xu Tian (Mach. Learn., 2019)

SAFE - Secure Aggregated Frequency Estimates. - Eric Bax; Charlotte Bax (IEEE BigData, 2020)

Heavy Tails Make Happy Buyers. - Eric Bax (CoRR, 2020)

When to Re-Draw a Sample, and Why. - Eric Bax (IEEE BigData, 2021)

Bounding Means of Discrete Distributions. - Eric Bax; Frédéric Ouimet (IEEE BigData, 2021)

Selecting a number of voters for a voting ensemble. - Eric Bax (CoRR, 2021)

Even Large Samples Have Challenges: Rare Events, Gaps, and Tails. - Eric Bax; Charlotte Bax (IEEE Big Data, 2022)

Multiple Statistics: Marking Significance. - Eric Bax; Arundhyoti Sarkar; Natalie Bax (IEEE Big Data, 2022)

Matching Noisy Keys for Obfuscation. - Charlie Dickens; Eric Bax (IEEE Big Data, 2023)

Generative AI: Citations for Trust and Consensus. - Eric Bax; Melissa Gerber; Lisa Giaffo; Arundhyoti Sarkar; Nikki Thompson; Will Wagner; Kimberly Williams (FTC (1), 2023)

Early Stopping Based on Repeated Significance. - Eric Bax; Arundhyoti Sarkar; Alex Shtoff (IEEE Big Data, 2024)

Key Compression Limits for k-Minimum Value Sketches. - Charlie Dickens; Eric Bax; Alexander Saydakov (IEEE Big Data, 2024)

Pre- and Post-Auction Discounts in First-Price Auctions. - Miguel Alcobendas; Eric Bax (CoRR, 2024)

Continuous Monitoring via Repeated Significance. - Eric Bax; Arundhyoti Sarkar; Alex Shtoff (CoRR, 2024)

Key Compression Limits for k-Minimum Value Sketches. - Charlie Dickens; Eric Bax; Alexander Saydakov (CoRR, 2024)