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ORCIDNaveen Durvasula
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Conference and Workshop Papers
- 2023
[c4]Naveen Durvasula
, Nika Haghtalab, Manolis Zampetakis:
Smoothed Analysis of Online Non-parametric Auctions. EC 2023: 540-560- [c3]Mahsa Derakhshan, Naveen Durvasula, Nika Haghtalab:
Stochastic Minimum Vertex Cover in General Graphs: A 3/2-Approximation. STOC 2023: 242-253 - 2022
- [c2]Naveen Durvasula, Aravind Srinivasan, John P. Dickerson:
Forecasting Patient Outcomes in Kidney Exchange. IJCAI 2022: 5052-5058 - 2018
- [c1]Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo:
A Muffin-Theorem Generator. FUN 2018: 15:1-15:19
Informal and Other Publications
- 2024
- [i5]Naveen Durvasula, Tim Roughgarden:
Robust Restaking Networks. CoRR abs/2407.21785 (2024) - [i4]Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian:
Observing Context Improves Disparity Estimation when Race is Unobserved. CoRR abs/2409.01984 (2024) - 2023
- [i3]Mahsa Derakhshan, Naveen Durvasula, Nika Haghtalab:
Stochastic Minimum Vertex Cover in General Graphs: a 3/2-Approximation. CoRR abs/2302.02567 (2023) - 2022
- [i2]Naveen Durvasula:
Extending Universal Approximation Guarantees: A Theoretical Justification for the Continuity of Real-World Learning Tasks. CoRR abs/2212.07934 (2022) - 2021
- [i1]Naveen Durvasula, Franklyn Wang, Scott Duke Kominers:
Recommending with Recommendations. CoRR abs/2112.00979 (2021)
Coauthor Index
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