Leonidas Tsepenekas

25 papers A* 7A 4Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. AAAI Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
2023	A*	`conf`	Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. NeurIPS Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni
2023	J	`jnl`	Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response. Auton. Agents Multi Agent Syst. George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2023	A*	`conf`	Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. IJCAI Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2023	J	`jnl`	SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features. CoRR Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
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`	Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. CoRR Leonidas Tsepenekas, Ivan Brugere
2022	A	`conf`	Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. AISTATS Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	J	`jnl`	Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. CoRR Amy Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	A	`conf`	Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. AAMAS George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	J	`jnl`	Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. CoRR George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	A	`conf`	Fair Disaster Containment via Graph-Cut Problems. AISTATS Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	—	`—`	On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning. Leonidas Tsepenekas
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	—	`conf`	Approximating Two-Stage Stochastic Supplier Problems. APPROX-RANDOM Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2021	J	`jnl`	Fair Disaster Containment via Graph-Cut Problems. CoRR Amy Babay, Michael Dinitz, Prathyush Sambaturu, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
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
2020	J	`jnl`	Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints. CoRR Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2020	A*	`conf`	Probabilistic Fair Clustering. NeurIPS Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson
2020	J	`jnl`	Probabilistic Fair Clustering. CoRR Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson
2019	A*	`conf`	A Unified Approach to Online Matching with Conflict-Aware Constraints. AAAI Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas
2016	J	`jnl`	Message Routing in Wireless and Mobile Networks using TDMA Technology. CoRR Timotheos Aslanidis, Leonidas Tsepenekas