"Incentive-Aware Machine Learning for Decision Making."

Podimata, Chara. Harvard University, 2022.

"Adaptive Discretization for Adversarial Lipschitz Bandits."

Chara Podimata and Aleksandrs Slivkins. In Proceedings of the 34th Annual Conference on Learning Theory (COLT21), edited by Suriya Gunasekar. Boulder, CO: August 2021. arXiv Preprint.

"Contextual Search in the Presence of Irrational Agents."

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, and Robert Schapire. In Proceedings of the 53rd ACM Symposium on Theory of Computing (STOC21), Virtual, Italy: June 2021. arXiv Preprint .

"Learning Strategy-Aware Linear Classifiers."

Yiling Chen, Yang Liu, and Chara Podimata. In Proceedings of the 34th Conf. on Neural Information Processing Systems (NeurIPS20), LaJolla, CA: December 2020. arXiv Preprint.

"No-Regret and Incentive-Compatible Online Learning."

Rupert Freeman, David Pennock, Chara Podimata, and Jennifer Wortman Vaughan. In Proceedings of the 37th International Conference on Machine Learning (ICML20), edited by Aarti Singh and Hal Daumé. Vienna, Austria: July 2020. arXiv Preprint.

"A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders."

Dimitris Fotakis, Kyriakos Lotidis, and Chara Podimata. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI19), New York, NY: June 2018. arXiv Preprint.