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Study mode:
on
1
Intro
2
Why study rankings
3
Learning from outcomes
4
Theorem
5
Fairness
6
Misrepresentation
7
Evidencebased perspective
8
Domination Compatibility
9
Evidence Consistency
10
Multi Accuracy
11
Toy Example
12
SelfReference
13
Discussion
Description:
Explore a 21-minute IEEE conference talk on evidence-consistent rankings and learning from outcomes. Delve into the importance of studying rankings, fairness considerations, and misrepresentation issues. Examine the concept of evidence-based perspective, domination compatibility, and evidence consistency. Understand multi-accuracy and its application through a toy example. Analyze self-reference in rankings and engage in a thought-provoking discussion on the implications of these concepts for real-world applications.

Learning from Outcomes - Evidence-Consistent Rankings

IEEE
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