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Chara Podimata
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2020 – today
- 2024
- [c13]Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata:
Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024: 2512-2520 - [c12]Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) 2024: 69-70 - [i17]Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata:
Can Probabilistic Feedback Drive User Impacts in Online Platforms? CoRR abs/2401.05304 (2024) - [i16]Patrick Jaillet, Chara Podimata, Zijie Zhou:
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. CoRR abs/2402.08533 (2024) - [i15]Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang:
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction. CoRR abs/2408.08272 (2024) - 2023
- [j2]Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire:
Contextual Search in the Presence of Adversarial Corruptions. Oper. Res. 71(4): 1120-1135 (2023) - [c11]Nika Haghtalab, Chara Podimata, Kunhe Yang:
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. NeurIPS 2023 - [c10]Keegan Harris, Chara Podimata, Zhiwei Steven Wu:
Strategic Apple Tasting. NeurIPS 2023 - [i14]Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata:
Recommending to Strategic Users. CoRR abs/2302.06559 (2023) - [i13]Nika Haghtalab, Chara Podimata, Kunhe Yang:
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. CoRR abs/2306.02704 (2023) - [i12]Keegan Harris, Chara Podimata, Zhiwei Steven Wu:
Strategic Apple Tasting. CoRR abs/2306.06250 (2023) - [i11]Khashayar Khosravi, Renato Paes Leme, Chara Podimata, Apostolis Tsorvantzis:
Bandits with Deterministically Evolving States. CoRR abs/2307.11655 (2023) - 2022
- [c9]Renato Paes Leme, Chara Podimata, Jon Schneider:
Corruption-Robust Contextual Search through Density Updates. COLT 2022: 3504-3505 - [c8]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. ICML 2022: 1691-1715 - [i10]Renato Paes Leme, Chara Podimata, Jon Schneider:
Corruption-Robust Contextual Search through Density Updates. CoRR abs/2206.07528 (2022) - [i9]Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR abs/2211.14236 (2022) - 2021
- [c7]Chara Podimata, Alex Slivkins:
Adaptive Discretization for Adversarial Lipschitz Bandits. COLT 2021: 3788-3805 - [c6]Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire:
Contextual search in the presence of irrational agents. STOC 2021: 910-918 - [i8]Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. CoRR abs/2103.01028 (2021) - 2020
- [c5]Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan:
No-Regret and Incentive-Compatible Online Learning. ICML 2020: 3270-3279 - [c4]Yiling Chen, Yang Liu, Chara Podimata:
Learning Strategy-Aware Linear Classifiers. NeurIPS 2020 - [i7]Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan:
No-Regret and Incentive-Compatible Online Learning. CoRR abs/2002.08837 (2020) - [i6]Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata:
Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. CoRR abs/2002.11650 (2020) - [i5]Chara Podimata, Aleksandrs Slivkins:
Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces. CoRR abs/2006.12367 (2020)
2010 – 2019
- 2019
- [c3]Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. AAAI 2019: 1949-1956 - [i4]Yiling Chen, Yang Liu, Chara Podimata:
Grinding the Space: Learning to Classify Against Strategic Agents. CoRR abs/1911.04004 (2019) - 2018
- [j1]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. 17(1): 54-60 (2018) - [c2]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. EC 2018: 9-26 - [c1]Zhe Feng, Chara Podimata, Vasilis Syrgkanis:
Learning to Bid Without Knowing your Value. EC 2018: 505-522 - [i3]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. CoRR abs/1805.10693 (2018) - [i2]Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. CoRR abs/1809.01803 (2018) - 2017
- [i1]Zhe Feng, Chara Podimata, Vasilis Syrgkanis:
Learning to Bid Without Knowing your Value. CoRR abs/1711.01333 (2017)
Coauthor Index
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last updated on 2024-09-25 00:42 CEST by the dblp team
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