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02/02/2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
Fair machine learning methods seek to train models that balance model pe...
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08/26/2022
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Similarity functions measure how comparable pairs of elements are, and p...
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06/29/2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale
The success of DNNs is driven by the counter-intuitive ability of over-p...
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10/27/2021
Parameterized Explanations for Investor / Company Matching
Matching companies and investors is usually considered a highly speciali...
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12/07/2020
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
Disparate access to resources by different subpopulations is a prevalent...
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04/04/2020
Privacy Shadow: Measuring Node Predictability and Privacy Over Time
The structure of network data enables simple predictive models to levera...
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04/04/2020
Inferring Network Structure From Data
Networks are complex models for underlying data in many application doma...
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10/14/2017
Network Model Selection Using Task-Focused Minimum Description Length
Networks are fundamental models for data used in practically every appli...
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08/21/2017
Network Model Selection for Task-Focused Attributed Network Inference
Networks are models representing relationships between entities. Often t...
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07/08/2017
Evaluating Social Networks Using Task-Focused Network Inference
Networks are representations of complex underlying social processes. How...
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10/03/2016
Network Structure Inference, A Survey: Motivations, Methods, and Applications
Networks represent relationships between entities in many complex system...
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03/04/2016
