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09/08/2023
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
We introduce a new type of query mechanism for collecting human feedback...
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09/18/2022
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
Many applications such as hiring and university admissions involve evalu...
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05/03/2022
Modeling and Correcting Bias in Sequential Evaluation
We consider the problem of sequential evaluation, in which an evaluator ...
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12/01/2020
Debiasing Evaluations That are Biased by Evaluations
It is common to evaluate a set of items by soliciting people to rate the...
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06/10/2019
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
A number of applications (e.g., AI bot tournaments, sports, peer grading...
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06/13/2018
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Cardinal scores (numeric ratings) collected from people are well known t...
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06/30/2015
Representing data by sparse combination of contextual data points for classification
In this paper, we study the problem of using contextual da- ta points of...
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08/19/2012