Darshan Chakrabarti

20 papers A* 7A 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.
AAAI
Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024 J jnl
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.
CoRR
Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024 — conf
Contested Logistics: A Game-Theoretic Approach.
GameSec
Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar
2024 J jnl
Contested Logistics: A Game-Theoretic Approach.
CoRR
Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar
2024 A* conf
Efficient Learning in Polyhedral Games via Best-Response Oracles.
AAAI
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
2024 A* conf
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes.
NeurIPS
Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
2024 J jnl
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes.
CoRR
Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
2024 A* conf
Implications of Distance over Redistricting Maps: Central and Outlier Maps.
AAAI
Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach
2023 A* conf
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games.
NeurIPS
Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
2023 J jnl
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games.
CoRR
Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
2023 J jnl
Efficient Learning in Polyhedral Games via Best Response Oracles.
CoRR
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
2022 A conf
A New Notion of Individually Fair Clustering: α-Equitable k-Center.
AISTATS
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2022 J jnl
Learning Stackelberg Equilibria and Applications to Economic Design Games.
CoRR
Gianluca Brero, Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Vincent Li, David C. Parkes
2022 A conf
Optimal Local Bayesian Differential Privacy over Markov Chains.
AAMAS
Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2022 J jnl
Optimal Local Bayesian Differential Privacy over Markov Chains.
CoRR
Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2021 J jnl
A New Notion of Individually Fair Clustering: α-Equitable k-Center.
CoRR
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2021 A* conf
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints.
AAAI
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
2021 J jnl
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints.
CoRR
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
2020 A* conf
A Pairwise Fair and Community-preserving Approach to k-Center Clustering.
ICML
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas
2020 J jnl
A Pairwise Fair and Community-preserving Approach to k-Center Clustering.
CoRR
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas