Chara Podimata

According to our database, Chara Podimata authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management.

Patrick Jaillet, Chara Podimata, Zijie Zhou

CoRR, 2024

Can Probabilistic Feedback Drive User Impacts in Online Platforms?

Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata

CoRR, 2024

2023

Contextual Search in the Presence of Adversarial Corruptions.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire

Oper. Res., July, 2023

Bandits with Deterministically Evolving States.

Khashayar Khosravi, Renato Paes Leme, Chara Podimata, Apostolis Tsorvantzis

CoRR, 2023

Strategic Apple Tasting.

Keegan Harris, Chara Podimata, Zhiwei Steven Wu

CoRR, 2023

Recommending to Strategic Users.

Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata

CoRR, 2023

Strategic Apple Tasting.

Keegan Harris, Chara Podimata, Steven Z. Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents.

Nika Haghtalab, Chara Podimata, Kunhe Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Strategyproof Decision-Making in Panel Data Settings and Beyond.

Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

CoRR, 2022

Information Discrepancy in Strategic Learning.

Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani

Proceedings of the International Conference on Machine Learning, 2022

Corruption-Robust Contextual Search through Density Updates.

Renato Paes Leme, Chara Podimata, Jon Schneider

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Contextual search in the presence of irrational agents.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Adaptive Discretization for Adversarial Lipschitz Bandits.

Chara Podimata, Alex Slivkins

Proceedings of the Conference on Learning Theory, 2021

2020

Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces.

Chara Podimata, Aleksandrs Slivkins

CoRR, 2020

Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata

CoRR, 2020

Learning Strategy-Aware Linear Classifiers.

Yiling Chen, Yang Liu, Chara Podimata

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

No-Regret and Incentive-Compatible Online Learning.

Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Grinding the Space: Learning to Classify Against Strategic Agents.

Yiling Chen, Yang Liu, Chara Podimata

CoRR, 2019

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

Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Strategyproof linear regression in high dimensions: an overview.

Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah

SIGecom Exch., 2018

Strategyproof Linear Regression in High Dimensions.

Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Learning to Bid Without Knowing your Value.

Zhe Feng, Chara Podimata, Vasilis Syrgkanis

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018