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12/07/2022
Metric Elicitation; Moving from Theory to Practice
Metric Elicitation (ME) is a framework for eliciting classification metr...
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08/19/2022
Classification Performance Metric Elicitation and its Applications
Given a learning problem with real-world tradeoffs, which cost function ...
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02/18/2021
Optimizing Black-box Metrics with Iterative Example Weighting
We consider learning to optimize a classification metric defined by a bl...
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11/03/2020
Quadratic Metric Elicitation with Application to Fairness
Metric elicitation is a recent framework for eliciting performance metri...
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06/23/2020
Fair Performance Metric Elicitation
What is a fair performance metric? We consider the choice of fairness me...
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01/28/2020
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
We study the standard problem of recommending relevant items to users; a...
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11/01/2018
Online Diverse Learning to Rank from Partial-Click Feedback
Learning to rank is an important problem in machine learning and recomme...
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10/31/2018
Clustered Monotone Transforms for Rating Factorization
Exploiting low-rank structure of the user-item rating matrix has been th...
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06/05/2018
Eliciting Binary Performance Metrics
Given a binary prediction problem, which performance metric should the c...
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06/28/2017
