Natalie Collina

Orcid: 0009-0006-2584-7728

According to our database1, Natalie Collina authored at least 15 papers between 2020 and 2025.

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Bibliography

2025
Collaborative Prediction: Tractable Information Aggregation via Agreement.
CoRR, April, 2025

Tractable Agreement Protocols.
Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

An Elementary Predictor Obtaining Distance to Calibration.
Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Learning to Play Against Unknown Opponents.
Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Swap Regret and Correlated Equilibria Beyond Normal-Form Games.
Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Algorithmic Collusion Without Threats.
Proceedings of the 16th Innovations in Theoretical Computer Science Conference, 2025

2024
The Value of Ambiguous Commitments in Multi-Follower Games.
CoRR, 2024

Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
CoRR, 2024

An Elementary Predictor Obtaining 2√T Distance to Calibration.
CoRR, 2024

Efficient Prior-Free Mechanisms for No-Regret Agents.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Pareto-Optimal Algorithms for Learning in Games.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023
Efficient Stackelberg Strategies for Finitely Repeated Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2020
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

On the (in-)approximability of Bayesian Revenue Maximization for a Combinatorial Buyer.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020


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