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07/27/2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Algorithmic fairness has been a serious concern and received lots of int...
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06/14/2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
While diffusion models excel at generating high-quality samples, their l...
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05/10/2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Machine learning (ML) in healthcare presents numerous opportunities for ...
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09/13/2021
Correcting the User Feedback-Loop Bias for Recommendation Systems
Selection bias is prevalent in the data for training and evaluating reco...
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08/19/2021
Fair and Consistent Federated Learning
Federated learning (FL) has gain growing interests for its capability of...
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08/18/2021
Learning to Collaborate
In this paper, we focus on effective learning over a collaborative resea...
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05/29/2021
The Definitions of Interpretability and Learning of Interpretable Models
As machine learning algorithms getting adopted in an ever-increasing num...
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06/15/2020
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility
Algorithmic fairness has received lots of interests in machine learning ...
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02/28/2017