scholar.google.com › citations
A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning · Computer Science, Mathematics. arXiv.org · 2023.
We frame our investigation using new, statistical distance-based variants of multi-calibration that are closely related to the concept of outcome ...
People also ask
What is multi calibration?
What is calibration in hypnotherapy?
We frame our investigation using new, statistical distance-based variants of multi-calibration that are closely related to the concept of outcome ...
Jan 21, 2023 · We identify and explore connections between the recent literature on multi-group fairness for prediction algorithms and the pseudorandomness notions.
The blue social bookmark and publication sharing system.
Nov 5, 2024 · The paper provides new insights on multicalibration in the context of concept shifts. The reviewers unanimously acknowledge the notable ...
We develop and study multicalibration as a new measure of fairness in machine learning that aims to mitigate inadvertent or malicious discrimina- tion that is ...
Missing: Insights | Show results with:Insights
We propose s-Happy Multicalibration, a generalization of multi-calibration, which yields a wide range of new applications, including a new fairness notion for ...
Aug 26, 2022 · ... about people constantly. The spread of such prediction systems has ... multi-group'' approach strengthens the guarantees of group ...
Missing: Insights | Show results with:Insights
Nov 7, 2024 · The full guide covers: Step-by-Step Techniques for Calibrating Difficult Sensors: Practical, detailed guidance on achieving accurate results ...