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Found 5 papers, 2 papers with code
A Flexible Latent Space Model for Multilayer Networks
Entities often interact with each other through multiple types of relations, which are often represented as multilayer networks.
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
We consider the task of training machine learning models with data-dependent constraints.
How does overparametrization affect performance on minority groups?
The benefits of overparameterization for the overall performance of modern machine learning (ML) models are well known.
Statistical inference for individual fairness
As we rely on machine learning (ML) models to make more consequential decisions, the issue of ML models perpetuating or even exacerbating undesirable historical biases (e. g., gender and racial biases) has come to the fore of the public's attention.
Auditing ML Models for Individual Bias and Unfairness
We consider the task of auditing ML models for individual bias/unfairness.
