Chara Podimata

41 papers A* 13A 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do LLMs Track Public Opinion? A Multi-Model Study of Favorability Predictions in the 2024 U.S. Presidential Election. CoRR Riya Parikh, Sarah H. Cen, Chara Podimata
2025	J	`jnl`	Contextual Dynamic Pricing with Heterogeneous Buyers. CoRR Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor, Chara Podimata, Julian Zimmert
2025	J	`jnl`	Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning. CoRR Valia Efthymiou, Ekaterina Fedorova, Chara Podimata
2025	J	`jnl`	Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality. CoRR Chara Podimata
2025	J	`jnl`	Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty. CoRR Valia Efthymiou, Chara Podimata, Diptangshu Sen, Juba Ziani
2025	J	`jnl`	Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season. CoRR Sarah H. Cen, Andrew Ilyas, Hedi Driss, Charlotte Park, Aspen K. Hopkins, Chara Podimata, Aleksander Madry
2025	J	`jnl`	User Altruism in Recommendation Systems. CoRR Ekaterina Fedorova, Madeline Kitch, Chara Podimata
2024	A	`conf`	Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata
2024	J	`jnl`	Can Probabilistic Feedback Drive User Impacts in Online Platforms? CoRR Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata
2024	J	`jnl`	Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. CoRR Patrick Jaillet, Chara Podimata, Zijie Zhou
2024	J	`jnl`	Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction. CoRR Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
2024	A*	`conf`	Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions. NeurIPS Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
2024	A*	`conf`	Preferences Evolve and so Should Your Bandits: Bandits with Evolving States for Online Platforms. EC Khashayar Khosravi, Renato Paes Leme, Chara Podimata, Apostolis Tsorvantzis
2024	—	`conf`	Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2023	J	`jnl`	Bandits with Deterministically Evolving States. CoRR Khashayar Khosravi, Renato Paes Leme, Chara Podimata, Apostolis Tsorvantzis
2023	A*	`conf`	Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. NeurIPS Nika Haghtalab, Chara Podimata, Kunhe Yang
2023	J	`jnl`	Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. CoRR Nika Haghtalab, Chara Podimata, Kunhe Yang
2023	J	`jnl`	Contextual Search in the Presence of Adversarial Corruptions. Oper. Res. Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire
2023	J	`jnl`	Recommending to Strategic Users. CoRR Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata
2023	A*	`conf`	Strategic Apple Tasting. NeurIPS Keegan Harris, Chara Podimata, Zhiwei Steven Wu
2023	J	`jnl`	Strategic Apple Tasting. CoRR Keegan Harris, Chara Podimata, Zhiwei Steven Wu
2022	A*	`conf`	Corruption-Robust Contextual Search through Density Updates. COLT Renato Paes Leme, Chara Podimata, Jon Schneider
2022	J	`jnl`	Corruption-Robust Contextual Search through Density Updates. CoRR Renato Paes Leme, Chara Podimata, Jon Schneider
2022	A*	`conf`	Information Discrepancy in Strategic Learning. ICML Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2022	J	`jnl`	Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2021	A*	`conf`	Adaptive Discretization for Adversarial Lipschitz Bandits. COLT Chara Podimata, Alex Slivkins
2021	A*	`conf`	Contextual search in the presence of irrational agents. STOC Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire
2021	J	`jnl`	Information Discrepancy in Strategic Learning. CoRR Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2020	J	`jnl`	Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces. CoRR Chara Podimata, Aleksandrs Slivkins
2020	J	`jnl`	Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. CoRR Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata
2020	A*	`conf`	Learning Strategy-Aware Linear Classifiers. NeurIPS Yiling Chen, Yang Liu, Chara Podimata
2020	A*	`conf`	No-Regret and Incentive-Compatible Online Learning. ICML Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan
2020	J	`jnl`	No-Regret and Incentive-Compatible Online Learning. CoRR Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan
2019	A*	`conf`	A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. AAAI Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
2019	J	`jnl`	Grinding the Space: Learning to Classify Against Strategic Agents. CoRR Yiling Chen, Yang Liu, Chara Podimata
2018	J	`jnl`	A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. CoRR Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
2018	A*	`conf`	Learning to Bid Without Knowing your Value. EC Zhe Feng, Chara Podimata, Vasilis Syrgkanis
2018	A*	`conf`	Strategyproof Linear Regression in High Dimensions. EC Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
2018	J	`jnl`	Strategyproof Linear Regression in High Dimensions. CoRR Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
2018	J	`jnl`	Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
2017	J	`jnl`	Learning to Bid Without Knowing your Value. CoRR Zhe Feng, Chara Podimata, Vasilis Syrgkanis