Leonidas Tsepenekas

According to our database, Leonidas Tsepenekas authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features.

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response.

George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Auton. Agents Multi Agent Syst., October, 2023

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers.

Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere

CoRR, 2022

Fair Disaster Containment via Graph-Cut Problems.

Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A New Notion of Individually Fair Clustering: α-Equitable k-Center.

Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks.

Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fair Disaster Containment via Graph-Cut Problems.

Amy Babay, Michael Dinitz, Prathyush Sambaturu, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

CoRR, 2021

Approximating Two-Stage Stochastic Supplier Problems.

Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Proceedings of the Approximation, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints.

Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

CoRR, 2020

Probabilistic Fair Clustering.

Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Pairwise Fair and Community-preserving Approach to k-Center Clustering.

Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Unified Approach to Online Matching with Conflict-Aware Constraints.

Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016

Message Routing in Wireless and Mobile Networks using TDMA Technology.

Timotheos Aslanidis, Leonidas Tsepenekas

CoRR, 2016