| Learning strategy-aware linear classifiers Y Chen, Y Liu, C Podimata Advances in Neural Information Processing Systems 33, 15265-15276, 2020 | 136 | 2020 |
| Strategyproof linear regression in high dimensions Y Chen, C Podimata, AD Procaccia, N Shah Proceedings of the 2018 ACM Conference on Economics and Computation, 9-26, 2018 | 92 | 2018 |
| Learning to bid without knowing your value Z Feng, C Podimata, V Syrgkanis Proceedings of the 2018 ACM Conference on Economics and Computation, 505-522, 2018 | 80 | 2018 |
| Information discrepancy in strategic learning Y Bechavod, C Podimata, S Wu, J Ziani International Conference on Machine Learning, 1691-1715, 2022 | 71 | 2022 |
| Calibrated stackelberg games: Learning optimal commitments against calibrated agents N Haghtalab, C Podimata, K Yang Advances in Neural Information Processing Systems 36, 61645-61677, 2023 | 46 | 2023 |
| Adaptive discretization for adversarial Lipschitz bandits C Podimata, A Slivkins Conference on Learning Theory, 3788-3805, 2021 | 35 | 2021 |
| Contextual search in the presence of adversarial corruptions A Krishnamurthy, T Lykouris, C Podimata, R Schapire Operations Research 71 (4), 1120-1135, 2023 | 33* | 2023 |
| No-regret and incentive-compatible online learning R Freeman, D Pennock, C Podimata, JW Vaughan International Conference on Machine Learning, 3270-3279, 2020 | 31* | 2020 |
| Recommending to Strategic Users A Haupt, D Hadfield-Menell, C Podimata arXiv preprint arXiv:2302.06559, 2023 | 26 | 2023 |
| Strategic apple tasting K Harris, C Podimata, SZ Wu Advances in Neural Information Processing Systems 36, 79918-79945, 2023 | 19 | 2023 |
| Can probabilistic feedback drive user impacts in online platforms? J Dai, B Flanigan, N Haghtalab, M Jagadeesan, C Podimata International Conference on Artificial Intelligence and Statistics, 2512-2520, 2024 | 12 | 2024 |
| Corruption-robust contextual search through density updates RP Leme, C Podimata, J Schneider Conference on Learning Theory, 3504-3505, 2022 | 10* | 2022 |
| A bridge between liquid and social welfare in combinatorial auctions with submodular bidders D Fotakis, K Lotidis, C Podimata Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1949-1956, 2019 | 9 | 2019 |
| Online Scheduling for LLM Inference with KV Cache Constraints P Jaillet, J Jiang, K Mellou, M Molinaro, C Podimata, Z Zhou arXiv preprint arXiv:2502.07115, 2025 | 8 | 2025 |
| Strategyproof decision-making in panel data settings and beyond K Harris, A Agarwal, C Podimata, ZS Wu ACM SIGMETRICS Performance Evaluation Review 52 (1), 69-70, 2024 | 8 | 2024 |
| Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality C Podimata arXiv preprint arXiv:2505.05211, 2025 | 6 | 2025 |
| Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty V Efthymiou, C Podimata, D Sen, J Ziani arXiv preprint arXiv:2502.06749, 2025 | 6 | 2025 |
| Is Knowledge Power? On the (Im) possibility of Learning from Strategic Interactions N Ananthakrishnan, N Haghtalab, C Podimata, K Yang Advances in Neural Information Processing Systems 37, 23852-23880, 2024 | 6 | 2024 |
| Bandits with Deterministically Evolving States K Khosravi, RP Leme, C Podimata, A Tsorvantzis arXiv preprint arXiv:2307.11655, 2023 | 5 | 2023 |
| When Should you Offer an Upgrade: Online Upgrading Mechanisms for Resource Allocation P Jaillet, C Podimata, A Vakhutinsky, Z Zhou arXiv preprint arXiv:2402.08804, 2024 | 3 | 2024 |
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
