Learning to Bid Without Knowing your Value. - Zhe Feng 004; Chara Podimata; Vasilis Syrgkanis (EC, 2018)

Strategyproof Linear Regression in High Dimensions. - Yiling Chen 001; Chara Podimata; Ariel D. Procaccia; Nisarg Shah 001 (EC, 2018)

Strategyproof linear regression in high dimensions: an overview. - Yiling Chen 001; Chara Podimata; Ariel D. Procaccia; Nisarg Shah 001 (SIGecom Exch., 2018)

A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. - Dimitris Fotakis 001; Kyriakos Lotidis; Chara Podimata (AAAI, 2019)

Grinding the Space: Learning to Classify Against Strategic Agents. - Yiling Chen 001; Yang Liu 018; Chara Podimata (CoRR, 2019)

No-Regret and Incentive-Compatible Online Learning. - Rupert Freeman; David M. Pennock; Chara Podimata; Jennifer Wortman Vaughan (ICML, 2020)

Learning Strategy-Aware Linear Classifiers. - Yiling Chen 001; Yang Liu 018; Chara Podimata (NeurIPS, 2020)

Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata (CoRR, 2020)

Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces. - Chara Podimata; Aleksandrs Slivkins (CoRR, 2020)

Adaptive Discretization for Adversarial Lipschitz Bandits. - Chara Podimata; Alex Slivkins (COLT, 2021)

Contextual search in the presence of irrational agents. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata; Robert E. Schapire (STOC, 2021)

Corruption-Robust Contextual Search through Density Updates. - Renato Paes Leme; Chara Podimata; Jon Schneider (COLT, 2022)

Information Discrepancy in Strategic Learning. - Yahav Bechavod; Chara Podimata; Zhiwei Steven Wu; Juba Ziani (ICML, 2022)

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. - Nika Haghtalab; Chara Podimata; Kunhe Yang (NeurIPS, 2023)

Strategic Apple Tasting. - Keegan Harris; Chara Podimata; Zhiwei Steven Wu (NeurIPS, 2023)

Recommending to Strategic Users. - Andreas A. Haupt; Dylan Hadfield-Menell; Chara Podimata (CoRR, 2023)

Bandits with Deterministically Evolving States. - Khashayar Khosravi; Renato Paes Leme; Chara Podimata; Apostolis Tsorvantzis (CoRR, 2023)

Contextual Search in the Presence of Adversarial Corruptions. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata; Robert E. Schapire (Oper. Res., 2023)

Can Probabilistic Feedback Drive User Impacts in Online Platforms? - Jessica Dai; Bailey Flanigan; Meena Jagadeesan; Nika Haghtalab; Chara Podimata (AISTATS, 2024)

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions. - Nivasini Ananthakrishnan; Nika Haghtalab; Chara Podimata; Kunhe Yang (NeurIPS, 2024)

Preferences Evolve and so Should Your Bandits: Bandits with Evolving States for Online Platforms. - Khashayar Khosravi; Renato Paes Leme; Chara Podimata; Apostolis Tsorvantzis (EC, 2024)

Strategyproof Decision-Making in Panel Data Settings and Beyond. - Keegan Harris; Anish Agarwal; Chara Podimata; Zhiwei Steven Wu (SIGMETRICS/Performance (Abstracts), 2024)

Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. - Patrick Jaillet; Chara Podimata; Zijie Zhou (CoRR, 2024)

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction. - Nivasini Ananthakrishnan; Nika Haghtalab; Chara Podimata; Kunhe Yang (CoRR, 2024)

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty. - Valia Efthymiou; Chara Podimata; Diptangshu Sen; Juba Ziani (CoRR, 2025)

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality. - Chara Podimata (CoRR, 2025)

User Altruism in Recommendation Systems. - Ekaterina Fedorova; Madeline Kitch; Chara Podimata (CoRR, 2025)