Research
Manuscripts
Fine-Grained Privacy Guarantees for Coverage Problems [arXiv]
with Laxman Dhulipala.
Near-Optimal Differentially Private k-Core Decomposition [arXiv]
with Laxman Dhulipala and Quanquan Liu.
Concentration of Submodular Functions Under Negative Dependence [arXiv]
with Sharmila Duppala, Juan Luque, Aravind Srinivasan, and Renata Valieva.
Conference Publications
Computing Epidemic Metrics with Edge Differential Privacy [pdf]
with Dung Nguyen and Anil Vullikanti.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers [pdf]
with Da Qi Chen, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, and Anil Vullikanti.
International Joint Conference on Artificial Intelligence (IJCAI), 2023.
Fine-Grained Buy-Many Mechanisms Are Not Much Better Than Bundling [arXiv]
with Sepehr Assadi, Vikram Kher, and Ariel Schvartzman
ACM Conference on Economics and Computation (EC), 2023.
Differentially Private Partial Set Cover with Applications to Facility Location [arXiv]
with Dung Nguyen and Anil Vullikanti.
International Joint Conference on Artificial Intelligence (IJCAI), 2023.
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response [arXiv] [video (10 min)]
with Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, and Anil Vullikanti
Invited to and published at Autonomous Agents and Multiagent Systems (JAAMAS), 2023
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022.
Best Student Paper Award
Theoretical Models and Preliminary Results for Contact Tracing and Isolation [arXiv].
with Arash Haddadan, Ann Li, Madhav Marathe, Aravind Srinivasan, Anil Vullikanti, and Zeyu Zhao.
Extended abstract at International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022.