A New Notion of Individually Fair Clustering: α-Equitable k-Center
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
Fair Disaster Containment via Graph-Cut Problems
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
Approximating Two-Stage Stochastic Supplier Problems
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Probabilistic Fair Clustering
A Pairwise Fair and Community-preserving Approach to k-Center Clustering