Probabilistic fair clustering S Esmaeili, B Brubach, L Tsepenekas, J Dickerson
Advances in Neural Information Processing Systems 33, 12743-12755, 2020
47 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
44 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
29 2021 A New Notion of Individually Fair Clustering: D Chakrabarti, JP Dickerson, SA Esmaeili, A Srinivasan, L Tsepenekas
International conference on artificial intelligence and statistics, 6387-6408, 2022
27 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
20 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
9 * 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
5 2023 Fairness in Clustering B Brubach, D Chakrabarty, JP Dickerson, S Esmaeili, M Kleindessner, ...
3 * 2022 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 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
1 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
1 2024 Efficient and equitable deployment of mobile vaccine distribution centers DQ Chen, A Li, G Li, M Marathe, A Srinivasan, L Tsepenekas, A Vullikanti
Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2023
1 2023 Improving Scheduling of Data Transmission in TDMA Systems T Aslanidis, L Tsepenekas
Fourth International Conference of Networks and Communications, Sydney …, 2016
1 2016 METHOD AND SYSTEM FOR REPAIRING EXPLANATIONS FOR NON-LINEAR MACHINE LEARNING MODELS F Lecue, L Tsepenekas, D Magazzeni, S Kariyappa
US Patent App. 18/225,494, 2025
2025 System, method, and computer program for computing data contraction and similarity from heterogeneous data descriptors L Tsepenekas, I Brugere, F Lecue, D Magazzeni
US Patent App. 18/112,341, 2024
2024 Stochastic Optimization and Learning for Two-Stage Supplier Problems B Brubach, N Grammel, DG Harris, A Srinivasan, L Tsepenekas, ...
ACM Transactions on Probabilistic Machine Learning, 2024
2024 On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning L Tsepenekas
University of Maryland, College Park, 2022
2022 Everyone Deserves Recourse: Feasible Recourse Paths Using Data Augmentation S Sharma, L Tsepenekas, M Boyarskaya, F Lecue
