FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget
Summary: FILA: online auditing of ML model accuracy under finite labeling budget; sampling-based stratified estimator with human-in-the-loop. FILA-Thompson, Thompson-Sampling-driven variant, budgeted label allocation, asymptotic optimality, variance analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Naiqing Guan (University of Toronto)
- 2. Nick Koudas (University of Toronto)
BibTeX Citation
@inproceedings{guan_sigmod22,
title = {{FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget}},
author = {Guan, Naiqing and Koudas, Nick},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517904},
url = {https://dl.acm.org/doi/10.1145/3514221.3517904},
year = {2022}
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 248 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023278354 |
| 439 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018464913 |
| 2,290 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 8.799251e-05 |
| 2,463 | A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching | 2020 | SIGMOD | 8.5486912e-05 |
| 3,630 | TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines | 2020 | SIGMOD | 7.2387749e-05 |
| 5,899 | In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling | 2017 | VLDB | 6.0469241e-05 |
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