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Chara Podimata
Chara Podimata
Assistant Professor of OR/Stat, MIT
E-mail confirmado em mit.edu - Página inicial
Título
Citado por
Citado por
Ano
Learning strategy-aware linear classifiers
Y Chen, Y Liu, C Podimata
Advances in Neural Information Processing Systems 33, 15265-15276, 2020
1132020
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
802018
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
732018
Information discrepancy in strategic learning
Y Bechavod, C Podimata, S Wu, J Ziani
International Conference on Machine Learning, 1691-1715, 2022
512022
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
292023
Contextual search in the presence of adversarial corruptions
A Krishnamurthy, T Lykouris, C Podimata, R Schapire
Operations Research 71 (4), 1120-1135, 2023
26*2023
No-regret and incentive-compatible online learning
R Freeman, D Pennock, C Podimata, JW Vaughan
International Conference on Machine Learning, 3270-3279, 2020
26*2020
Adaptive discretization for adversarial Lipschitz bandits
C Podimata, A Slivkins
Conference on Learning Theory, 3788-3805, 2021
192021
Recommending to Strategic Users
A Haupt, D Hadfield-Menell, C Podimata
arXiv preprint arXiv:2302.06559, 2023
112023
Strategic apple tasting
K Harris, C Podimata, SZ Wu
Advances in Neural Information Processing Systems 36, 79918-79945, 2023
92023
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
82019
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
52024
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
J Dai, B Flanigan, M Jagadeesan, N Haghtalab, C Podimata
International Conference on Artificial Intelligence and Statistics, 2512-2520, 2024
52024
Corruption-robust contextual search through density updates
RP Leme, C Podimata, J Schneider
Conference on Learning Theory, 3504-3505, 2022
52022
Bandits with Deterministically Evolving States
K Khosravi, RP Leme, C Podimata, A Tsorvantzis
arXiv preprint arXiv:2307.11655, 2023
42023
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, 2025
32025
Strategy-aware contextual bandits
K Harris, C Podimata, S Wu
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022
22022
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
12024
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
P Jaillet, C Podimata, Z Zhou
arXiv preprint arXiv:2402.08533, 2024
12024
Strategyproof linear regression in high dimensions: an overview
Y Chen, C Podimata, AD Procaccia, N Shah
ACM SIGecom Exchanges 17 (1), 54-60, 2019
12019
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