Search Results for author:
Found 3 papers, 2 papers with code
A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center
Clustering is a fundamental problem in unsupervised machine learning, and fair variants of it have recently received significant attention due to its societal implications.
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Metric clustering is fundamental in areas ranging from Combinatorial Optimization and Data Mining, to Machine Learning and Operations Research.
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Clustering is a foundational problem in machine learning with numerous applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
