Eric Bax

50 papers A 2B 10Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Continuous Monitoring via Repeated Significance.
CoRR
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 B conf
Early Stopping Based on Repeated Significance.
IEEE Big Data
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 J jnl
Early Stopping Based on Repeated Significance.
CoRR
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 J jnl
Key Compression Limits for
CoRR
Charlie Dickens, Eric Bax, Alexander Saydakov
2024 B conf
Key Compression Limits for k-Minimum Value Sketches.
IEEE Big Data
Charlie Dickens, Eric Bax, Alexander Saydakov
2024 J jnl
Pre- and Post-Auction Discounts in First-Price Auctions.
CoRR
Miguel Alcobendas, Eric Bax
2023 — conf
Generative AI: Citations for Trust and Consensus.
FTC (1)
Eric Bax, Melissa Gerber, Lisa Giaffo, Arundhyoti Sarkar, Nikki Thompson, Will Wagner, Kimberly Williams
2023 B conf
Matching Noisy Keys for Obfuscation.
IEEE Big Data
Charlie Dickens, Eric Bax
2023 J jnl
Matching Noisy Keys for Obfuscation.
CoRR
Charlie Dickens, Eric Bax
2022 B conf
Even Large Samples Have Challenges: Rare Events, Gaps, and Tails.
IEEE Big Data
Eric Bax, Charlotte Bax
2022 B conf
Multiple Statistics: Marking Significance.
IEEE Big Data
Eric Bax, Arundhyoti Sarkar, Natalie Bax
2022 J jnl
Sharp Frequency Bounds for Sample-Based Queries.
CoRR
Eric Bax, John Donald
2021 — conf
Bounding Means of Discrete Distributions.
IEEE BigData
Eric Bax, Frédéric Ouimet
2021 J jnl
Bounding Means of Discrete Distributions.
CoRR
Eric Bax, Frédéric Ouimet
2021 J jnl
Selecting a number of voters for a voting ensemble.
CoRR
Eric Bax
2021 — conf
When to Re-Draw a Sample, and Why.
IEEE BigData
Eric Bax
2020 J jnl
Heavy Tails Make Happy Buyers.
CoRR
Eric Bax
2020 — conf
SAFE - Secure Aggregated Frequency Estimates.
IEEE BigData
Eric Bax, Charlotte Bax
2019 J jnl
Collecting Charges for Ad Impact on User Experience for Different Price Types.
CoRR
Eric Bax
2019 J jnl
Computing a Data Dividend.
CoRR
Eric Bax
2019 J jnl
Data Consortia.
CoRR
Eric Bax, John Donald, Melissa Gerber, Lisa Giaffo, Tanisha Sharma, Nikki Thompson, Kimberly Williams
2019 B conf
Ensemble Validation: Selectivity has a Price, but Variety is Free.
IJCNN
Eric Bax, Farshad Kooti
2019 — conf
Sharp Frequency Bounds for Sample-Based Queries.
IEEE BigData
Eric Bax, John Donald
2019 J jnl
Speculate-correct error bounds for k-nearest neighbor classifiers.
Mach. Learn.
Eric Bax, Lingjie Weng, Xu Tian
2017 A conf
iPhone's Digital Marketplace: Characterizing the Big Spenders.
WSDM
Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman
2017 J jnl
iPhone's Digital Marketplace: Characterizing the Big Spenders.
CoRR
Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman
2016 J jnl
Ensemble Validation: Selectivity has a Price, but Variety is Free.
CoRR
Eric Bax, Farshad Kooti
2016 B conf
Validation of matching.
IJCNN
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
2015 J jnl
Exponential Weight Functions for Quasi-Proportional Auctions.
CoRR
Eric Bax, James Li, Zheng Wen
2015 J jnl
Improved Error Bounds Based on Worst Likely Assignments.
CoRR
Eric Bax
2015 B conf
Improved error bounds based on worst likely assignments.
IJCNN
Eric Bax
2015 J jnl
Portfolio Allocation for Sellers in Online Advertising.
CoRR
Ragavendran Gopalakrishnan, Eric Bax, Krishna Prasad Chitrapura, Sachin Garg
2015 J jnl
Selecting Weight Functions to Spur Competition in Quasi-Proportional Auctions.
CoRR
Zheng Wen, Eric Bax, James Li
2015 J jnl
Some Theory For Practical Classifier Validation.
CoRR
Eric Bax, Ya Le
2015 J jnl
VCG Payments for Portfolio Allocations in Online Advertising.
CoRR
James Li, Eric Bax, Nilanjan Roy, Andrea Leistra
2014 J jnl
Pigovian Taxes Can Increase Platform Competitiveness: The Case of Online Display Advertising.
CoRR
Valeria Stourm, Eric Bax
2014 J jnl
Validation of Network Reconciliation.
CoRR
Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li
2014 J jnl
Validation of k-Nearest Neighbor Classifiers Using Inclusion and Exclusion.
CoRR
Eric Bax, Lingjie Weng, Xu Tian
2012 — conf
Validation of Network Classifiers.
SSPR/SPR
James Li, Abdullah Sonmez, Zehra Cataltepe, Eric Bax
2012 J jnl
Validation of k-Nearest Neighbor Classifiers.
IEEE Trans. Inf. Theory
Eric Bax
2008 J jnl
An Error Bound Based on a Worst Likely Assignment.
J. Mach. Learn. Res.
Eric Bax, Augusto Callejas
2008 J jnl
Nearly Uniform Validation Improves Compression-Based Error Bounds.
J. Mach. Learn. Res.
Eric Bax
2005 A conf
An Event Processing Language (EPL) for Building Sense and Respond Applications.
IPDPS
Elli Albek, Eric Bax, Greg Billock, K. Mani Chandy, Ian Swett
2000 B conf
Using Validation by Inference to Select a Hypothesis Function.
ICPR
Eric Bax
2000 J jnl
Validation of nearest neighbor classifiers.
IEEE Trans. Inf. Theory
Eric Bax
1999 J jnl
Improved Hoeffding-style performance guarantees for accurate classifiers.
Pattern Recognit. Lett.
Eric Bax
1999 J jnl
Partition-based and sharp uniform error bounds.
IEEE Trans. Neural Networks
Eric Bax
1999 B conf
Validation of fusion through linear programming.
IJCNN
Eric Bax
1998 — —
Finite-difference algorithms for counting problems.
Eric Bax
1998 J jnl
Validation of average error rate over classifiers.
Pattern Recognit. Lett.
Eric Bax