受强制性开放获取政策约束的文章 - Leonidas Tsepenekas了解详情
可在其他位置公开访问的文章：11 篇
Probabilistic fair clustering
S Esmaeili, B Brubach, L Tsepenekas, J Dickerson
Advances in Neural Information Processing Systems 33, 12743-12755, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
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
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
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
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Approximating Two-Stage Stochastic Supplier Problems
B Brubach, N Grammel, DG Harris, A Srinivasan, L Tsepenekas, ...
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2020
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation
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