Anilesh K. Krishnaswamy

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Anilesh Kollagunta Krishnaswamy,
Postdoctoral Associate,
Computer Science,
Duke University.
Email: < first name > @cs.duke.edu

Recent work

  • Classification with Strategically Withheld Data [<arXiv>]. Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer. To appear in the AAAI Conference on Artificial Intelligence (AAAI) 2021.

  • Fair for All: Best-effort Fairness Guarantees for Classification [<arxiv>]. Anilesh K. Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, and Kamesh Munagala. International Conference on Artificial Intelligence and Statistics (AISTATS) 2021.

Selected Publications

  • Assortment Planning for Two-sided Sequential Matching Markets [<arXiv>]. Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani, Daniela Saban, and Kirankumar Shiragur. 16th Conference on Web and Internet Economics (WINE) 2020.

  • Knapsack Voting for Participatory Budgeting [<arXiv> <published>]. Ashish Goel, Anilesh K. Krishnaswamy, Sukolsak Sakshuwong, Tanja Aitamurto. ACM Transactions on Economics and Computation (TEAC) 2019.

  • Implementing the Lexicographic Maxmin Bargaining Solution [<arXiv>]. Ashish Goel, Anilesh K. Krishnaswamy. 14th Conference on Web and Internet Economics (WINE) 2018. Finalist at the Nicholson Student Paper Competition to be held at INFORMS 2018.

  • Exploration vs. Exploitation in Team Formation for Collaborative Work [<arXiv>]. Ramesh Johari, Vijay Kamble, Anilesh K. Krishnaswamy, Hannah Li. 14th Conference on Web and Internet Economics (WINE) 2018.

  • Metric Distortion of Social Choice Rules: Lower Bounds and Fairness Properties [<arXiv> <published>]. Ashish Goel, Anilesh K. Krishnaswamy, Kamesh Munagala. 18th ACM Conference on Economics and Computation (EC), 2017.

A full list can be found here on Google Scholar.