Chakrabarti, Darshan

9 publications

AAAI 2024 Automated Design of Affine Maximizer Mechanisms in Dynamic Settings Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken

AAAI 2024 Efficient Learning in Polyhedral Games via Best-Response Oracles Darshan Chakrabarti, Gabriele Farina, Christian Kroer

NeurIPS 2024 Extensive-Form Game Solving via Blackwell Approachability on Treeplexes Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer

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

NeurIPS 2023 Block-Coordinate Methods and Restarting for Solving Extensive-Form Games Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer

NeurIPSW 2023 Efficient Learning in Polyhedral Games via Best Response Oracles Darshan Chakrabarti, Gabriele Farina, Christian Kroer

AISTATS 2022 A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas

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

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