Brubach, Brian

7 publications

AAAI 2024 Implications of Distance over Redistricting Maps: Central and Outlier Maps Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach

AISTATS 2021 Follow Your Star: New Frameworks for Online Stochastic Matching with Known and Unknown Patience Brian Brubach, Nathaniel Grammel, Will Ma, Aravind Srinivasan

NeurIPS 2021 Fair Clustering Under a Bounded Cost Seyed Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson

AAAI 2021 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

NeurIPS 2021 Improved Guarantees for Offline Stochastic Matching via New Ordered Contention Resolution Schemes Brian Brubach, Nathaniel Grammel, Will Ma, Aravind Srinivasan

ICML 2020 A Pairwise Fair and Community-Preserving Approach to K-Center Clustering Brian Brubach, Darshan Chakrabarti, John Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas

NeurIPS 2020 Probabilistic Fair Clustering Seyed Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson