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02/13/2023
Towards Agile Text Classifiers for Everyone
Text-based safety classifiers are widely used for content moderation and...
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06/23/2021
Fairness for Image Generation with Uncertain Sensitive Attributes
This work tackles the issue of fairness in the context of generative pro...
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08/19/2020
Quarantines as a Targeted Immunization Strategy
In the context of the recent COVID-19 outbreak, quarantine has been used...
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05/08/2020
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Influence maximization is a widely studied topic in network science, whe...
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05/08/2020
Adversarial Graph Embeddings for Fair Influence Maximization over SocialNetworks
Influence maximization is a widely studied topic in network science, whe...
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06/14/2019
Disentangling Mixtures of Epidemics on Graphs
We consider the problem of learning the weighted edges of a mixture of t...
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03/06/2019
Learning Graphs from Noisy Epidemic Cascades
We consider the problem of learning the weighted edges of a graph by obs...
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01/25/2019