dogear

enter for all results · esc to close

Auditing Fairness by Betting

arxiv.orgsite

(Neurips) [Code] Sequential methods that allows for the continuous monitoring of incoming data from a black-box classifier or regressor.

from
Audit Algorithms
added
2026-10-10
likes
0

similar

  1. Active Fairness Auditing proceedings.mlr.press

    (ICML) Studies of query-based auditing algorithms that can estimate the demographic parity of ML models in a query-efficient manner.

  2. Auditing fairness under unawareness through counterfactual reasoning sciencedirect.com

    (Information Processing & Management) Shows how to unveil whether a black-box model, complying with the regulations, is still biased or not.

  3. The Fair Game: Auditing & debiasing AI algorithms over time cambridge.org

    Jouarnal of Cambridge Forum on AI: Law and Governance

  4. Privacy Auditing with One (1) Training Run neurips.cc

    (NeurIPS - best paper) A scheme for auditing differentially private machine learning systems with a single training run.

  5. Auditing Algorithmic Bias on Twitter dl.acm.org

    (WebSci).

  6. Auditing: Active Learning with Outcome-Dependent Query Costs cs.bgu.ac.il

    (NIPS) Learns from a binary classifier paying only for negative labels.

Audit Algorithms › Papers > 2024: “(Neurips) [Code] Sequential methods that allows for the continuous monitoring of incoming data from a black-box classifier or regressor.”