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ORCIDNatalie Collina
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2020 – today
- 2026
[c12]Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi:
Collaborative Prediction: Tractable Information Aggregation via Agreement. SODA 2026: 4712-4798- [i21]Natalie Collina, Jiuyao Lu, Georgy Noarov, Aaron Roth:
Optimal Lower Bounds for Online Multicalibration. CoRR abs/2601.05245 (2026) - [i20]Garrett G. Wen, Buxin Su, Natalie Collina, Zhun Deng, Weijie J. Su:
Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism. CoRR abs/2601.15249 (2026) - [i19]Kiarash Banihashem, Natalie Collina, Aleksandrs Slivkins:
Bandit Social Learning with Exploration Episodes. CoRR abs/2602.05835 (2026) - [i18]Natalie Collina, Surbhi Goel, Aaron Roth, Mirah Shi:
Personalization Aids Pluralistic Alignment Under Competition. CoRR abs/2602.13451 (2026) - 2025
- [c11]Eshwar Ram Arunachaleswaran, Natalie Collina, Sampath Kannan, Aaron Roth, Juba Ziani:
Algorithmic Collusion Without Threats. ITCS 2025: 10:1-10:21 - [c10]Eshwar Ram Arunachaleswaran
, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Swap Regret and Correlated Equilibria Beyond Normal-Form Games. EC 2025: 130-157 - [c9]Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider:
Learning to Play Against Unknown Opponents. EC 2025: 478-504 - [c8]Eshwar Ram Arunachaleswaran, Natalie Collina, Aaron Roth, Mirah Shi:
An Elementary Predictor Obtaining Distance to Calibration. SODA 2025: 1366-1370 - [c7]Natalie Collina, Surbhi Goel, Varun Gupta, Aaron Roth:
Tractable Agreement Protocols. STOC 2025: 1532-1543 - [i17]Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Swap Regret and Correlated Equilibria Beyond Normal-Form Games. CoRR abs/2502.20229 (2025) - [i16]Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi:
Collaborative Prediction: Tractable Information Aggregation via Agreement. CoRR abs/2504.06075 (2025) - [i15]Natalie Collina, Surbhi Goel, Aaron Roth, Emily Ryu, Mirah Shi:
Emergent Alignment via Competition. CoRR abs/2509.15090 (2025) - [i14]Buxin Su, Natalie Collina, Garrett Wen, Didong Li, Kyunghyun Cho, Jianqing Fan, Bingxin Zhao, Weijie Su:
How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review. CoRR abs/2510.02143 (2025) - [i13]Natalie Collina, Eshwar Ram Arunachaleswaran, Meena Jagadeesan:
Breaking Algorithmic Collusion in Human-AI Ecosystems. CoRR abs/2511.21935 (2025) - 2024
- [c6]Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider:
Pareto-Optimal Algorithms for Learning in Games. EC 2024: 490-510 - [c5]Natalie Collina, Aaron Roth, Han Shao:
Efficient Prior-Free Mechanisms for No-Regret Agents. EC 2024: 511-541 - [c4]Natalie Collina, Varun Gupta, Aaron Roth:
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability. EC 2024: 640-668 - [i12]Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider:
Pareto-Optimal Algorithms for Learning in Games. CoRR abs/2402.09549 (2024) - [i11]Eshwar Ram Arunachaleswaran, Natalie Collina, Aaron Roth, Mirah Shi:
An Elementary Predictor Obtaining 2√T Distance to Calibration. CoRR abs/2402.11410 (2024) - [i10]Natalie Collina, Varun Gupta, Aaron Roth:
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability. CoRR abs/2402.17108 (2024) - [i9]Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su:
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR abs/2408.13430 (2024) - [i8]Eshwar Ram Arunachaleswaran, Natalie Collina, Sampath Kannan, Aaron Roth, Juba Ziani:
Algorithmic Collusion Without Threats. CoRR abs/2409.03956 (2024) - [i7]Natalie Collina, Rabanus Derr, Aaron Roth:
The Value of Ambiguous Commitments in Multi-Follower Games. CoRR abs/2409.05608 (2024) - [i6]Natalie Collina, Surbhi Goel, Varun Gupta, Aaron Roth:
Tractable Agreement Protocols. CoRR abs/2411.19791 (2024) - [i5]Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider:
Learning to Play Against Unknown Opponents. CoRR abs/2412.18297 (2024) - 2023
- [c3]Natalie Collina, Eshwar Ram Arunachaleswaran, Michael Kearns:
Efficient Stackelberg Strategies for Finitely Repeated Games. AAMAS 2023: 643-651 - [i4]Natalie Collina, Aaron Roth, Han Shao:
Efficient Prior-Free Mechanisms for No-Regret Agents. CoRR abs/2311.07754 (2023) - 2022
- [i3]Eshwar Ram Arunachaleswaran, Natalie Collina, Michael Kearns:
Efficient Stackelberg Strategies for Finitely Repeated Games. CoRR abs/2207.04192 (2022) - 2020
- [c2]Natalie Collina, S. Matthew Weinberg:
On the (in-)approximability of Bayesian Revenue Maximization for a Combinatorial Buyer. EC 2020: 477-497 - [c1]Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman:
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. WINE 2020: 17-30 - [i2]Natalie Collina, S. Matthew Weinberg:
On the (in)-approximability of Bayesian Revenue Maximization for a Combinatorial Buyer. CoRR abs/2007.05164 (2020) - [i1]Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman:
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. CoRR abs/2012.00689 (2020)
Coauthor Index
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last updated on 2026-03-28 22:36 CET by the dblp team
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