Probabilistic fair clustering S Esmaeili, B Brubach, L Tsepenekas, J Dickerson
Advances in Neural Information Processing Systems 33, 12743-12755, 2020
39 2020 A pairwise fair and community-preserving approach to k-center clustering B Brubach, D Chakrabarti, J Dickerson, S Khuller, A Srinivasan, ...
International conference on machine learning, 1178-1189, 2020
38 2020 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints B Brubach, D Chakrabarti, JP Dickerson, A Srinivasan, L Tsepenekas
Proc. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
25 2021 A New Notion of Individually Fair Clustering: -Equitable -Center D Chakrabarti, JP Dickerson, SA Esmaeili, A Srinivasan, L Tsepenekas
International conference on artificial intelligence and statistics, 6387-6408, 2022
22 2022 A unified approach to online matching with conflict-aware constraints P Xu, Y Shi, H Cheng, J Dickerson, KA Sankararaman, A Srinivasan, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2221-2228, 2019
17 2019 Fair disaster containment via graph-cut problems M Dinitz, A Srinivasan, L Tsepenekas, A Vullikanti
International Conference on Artificial Intelligence and Statistics, 6321-6333, 2022
8 * 2022 Controlling epidemic spread using probabilistic diffusion models on networks AE Babay, M Dinitz, A Srinivasan, L Tsepenekas, A Vullikanti
International Conference on Artificial Intelligence and Statistics, 11641-11654, 2022
6 2022 Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response GZ Li, A Li, M Marathe, A Srinivasan, L Tsepenekas, A Vullikanti
Autonomous Agents and Multi-Agent Systems 37 (2), 31, 2023
4 2023 Approximating Two-Stage Stochastic Supplier Problems B Brubach, N Grammel, DG Harris, A Srinivasan, L Tsepenekas, ...
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2020
3 2020 Message Routing In Wireless and Mobile Networks Using TDMA Technology T Aslanidis, L Tsepenekas
arXiv preprint arXiv:1607.00604, 2016
3 2016 Fairness in clustering B Brubach, D Chakrabarty, JP Dickerson, MK Seyed Esmaeili, M Knittel, ...
1 2022 Improving Scheduling of Data Transmission in TDMA Systems T Aslanidis, L Tsepenekas
Fourth International Conference of Networks and Communications, Sydney …, 2016
1 2016 SHAP@ k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features S Kariyappa, L Tsepenekas, F Lécué, D Magazzeni
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13068 …, 2024
2024 Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions L Tsepenekas, I Brugere, F Lecue, D Magazzeni
Advances in Neural Information Processing Systems 36, 2024
2024 Efficient and equitable deployment of mobile vaccine distribution centers DQ Chen, A Li, GZ Li, M Marathe, A Srinivasan, L Tsepenekas, ...
Proceedings of the Thirty-Second International Joint Conference on …, 2023
2023 Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic GZ Li, A Li, M Marathe, A Srinivasan, L Tsepenekas, A Vullikanti
2022 On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning L Tsepenekas
University of Maryland, College Park, 2022
2022