Eric Bax

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 30

Top Topics

Online Advertising

Nearest Neighbor Classifier

Top Venues

Publications

Miguel Alcobendas, Eric Bax
Pre- and Post-Auction Discounts in First-Price Auctions. CoRR (2024)
Charlie Dickens, Eric Bax
Matching Noisy Keys for Obfuscation. CoRR (2023)
Eric Bax, Melissa Gerber, Lisa Giaffo, Arundhyoti Sarkar, Nikki Thompson, Will Wagner, Kimberly Williams
Generative AI: Citations for Trust and Consensus. FTC (1) (2023)
Charlie Dickens, Eric Bax
Matching Noisy Keys for Obfuscation. BigData (2023)
Eric Bax, Arundhyoti Sarkar, Natalie Bax
Multiple Statistics: Marking Significance. Big Data (2022)
Eric Bax, John Donald
Sharp Frequency Bounds for Sample-Based Queries. CoRR (2022)
Eric Bax, Charlotte Bax
Even Large Samples Have Challenges: Rare Events, Gaps, and Tails. Big Data (2022)
Eric Bax
Selecting a number of voters for a voting ensemble. CoRR (2021)
Eric Bax, Frédéric Ouimet
Bounding Means of Discrete Distributions. IEEE BigData (2021)
Eric Bax, Frédéric Ouimet
Bounding Means of Discrete Distributions. CoRR (2021)
Eric Bax
When to Re-Draw a Sample, and Why. IEEE BigData (2021)
Eric Bax
Heavy Tails Make Happy Buyers. CoRR (2020)
Eric Bax, Charlotte Bax
SAFE - Secure Aggregated Frequency Estimates. IEEE BigData (2020)
Eric Bax
Collecting Charges for Ad Impact on User Experience for Different Price Types. CoRR (2019)
Eric Bax, John Donald
Sharp Frequency Bounds for Sample-Based Queries. IEEE BigData (2019)
Eric Bax, Lingjie Weng, Xu Tian
Speculate-correct error bounds for k-nearest neighbor classifiers. Mach. Learn. 108 (12) (2019)
Eric Bax
Computing a Data Dividend. CoRR (2019)
Eric Bax, John Donald, Melissa Gerber, Lisa Giaffo, Tanisha Sharma, Nikki Thompson, Kimberly Williams
Data Consortia. CoRR (2019)
Eric Bax, Farshad Kooti
Ensemble Validation: Selectivity has a Price, but Variety is Free. IJCNN (2019)
Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman
iPhone's Digital Marketplace: Characterizing the Big Spenders. WSDM (2017)
Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman
iPhone's Digital Marketplace: Characterizing the Big Spenders. CoRR (2017)
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
Validation of matching. IJCNN (2016)
Eric Bax, Farshad Kooti
Ensemble Validation: Selectivity has a Price, but Variety is Free. CoRR (2016)
Eric Bax, Ya Le
Some Theory For Practical Classifier Validation. CoRR (2015)
Zheng Wen, Eric Bax, James Li
Selecting Weight Functions to Spur Competition in Quasi-Proportional Auctions. CoRR (2015)
Eric Bax
Improved Error Bounds Based on Worst Likely Assignments. CoRR (2015)
Eric Bax, James Li, Zheng Wen
Exponential Weight Functions for Quasi-Proportional Auctions. CoRR (2015)
Ragavendran Gopalakrishnan, Eric Bax, Krishna Prasad Chitrapura, Sachin Garg
Portfolio Allocation for Sellers in Online Advertising. CoRR (2015)
James Li, Eric Bax, Nilanjan Roy, Andrea Leistra
VCG Payments for Portfolio Allocations in Online Advertising. CoRR (2015)
Eric Bax
Improved error bounds based on worst likely assignments. IJCNN (2015)
Eric Bax, Lingjie Weng, Xu Tian
Validation of k-Nearest Neighbor Classifiers Using Inclusion and Exclusion. CoRR (2014)
Valeria Stourm, Eric Bax
Pigovian Taxes Can Increase Platform Competitiveness: The Case of Online Display Advertising. CoRR (2014)
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
Validation of Network Reconciliation. CoRR (2014)
Eric Bax
Validation of k-Nearest Neighbor Classifiers. IEEE Trans. Inf. Theory 58 (5) (2012)
James Li, Abdullah Sonmez, Zehra Cataltepe, Eric Bax
Validation of Network Classifiers. SSPR/SPR (2012)
Eric Bax
Nearly Uniform Validation Improves Compression-Based Error Bounds. J. Mach. Learn. Res. 9 (2008)
Eric Bax, Augusto Callejas
An Error Bound Based on a Worst Likely Assignment. J. Mach. Learn. Res. 9 (2008)
Elli Albek, Eric Bax, Greg Billock, K. Mani Chandy, Ian Swett
An Event Processing Language (EPL) for Building Sense and Respond Applications. IPDPS (2005)
Eric Bax
Using Validation by Inference to Select a Hypothesis Function. ICPR (2000)
Eric Bax
Validation of nearest neighbor classifiers. IEEE Trans. Inf. Theory 46 (7) (2000)
Eric Bax
Validation of fusion through linear programming. IJCNN (1999)
Eric Bax
Improved Hoeffding-style performance guarantees for accurate classifiers. Pattern Recognit. Lett. 20 (4) (1999)
Eric Bax
Partition-based and sharp uniform error bounds. IEEE Trans. Neural Networks 10 (6) (1999)
Eric Bax
Validation of average error rate over classifiers. Pattern Recognit. Lett. 19 (2) (1998)