On the (in-)approximability of Bayesian Revenue Maximization for a Combinatorial Buyer. - Natalie Collina; S. Matthew Weinberg (EC, 2020)

Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. - Natalie Collina; Nicole Immorlica; Kevin Leyton-Brown; Brendan Lucier; Neil Newman (WINE, 2020)

Efficient Stackelberg Strategies for Finitely Repeated Games. - Natalie Collina; Eshwar Ram Arunachaleswaran; Michael Kearns (AAMAS, 2023)

Pareto-Optimal Algorithms for Learning in Games. - Eshwar Ram Arunachaleswaran; Natalie Collina; Jon Schneider (EC, 2024)

Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability. - Natalie Collina; Varun Gupta 006; Aaron Roth 001 (EC, 2024)

Efficient Prior-Free Mechanisms for No-Regret Agents. - Natalie Collina; Aaron Roth 001; Han Shao (EC, 2024)

An Elementary Predictor Obtaining 2√T Distance to Calibration. - Eshwar Ram Arunachaleswaran; Natalie Collina; Aaron Roth 001; Mirah Shi (CoRR, 2024)

Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? - Buxin Su; Jiayao Zhang 001; Natalie Collina; Yuling Yan; Didong Li; Kyunghyun Cho; Jianqing Fan; Aaron Roth 001; Weijie J. Su (CoRR, 2024)

The Value of Ambiguous Commitments in Multi-Follower Games. - Natalie Collina; Rabanus Derr; Aaron Roth 001 (CoRR, 2024)

Algorithmic Collusion Without Threats. - Eshwar Ram Arunachaleswaran; Natalie Collina; Sampath Kannan; Aaron Roth 001; Juba Ziani (ITCS, 2025)

Swap Regret and Correlated Equilibria Beyond Normal-Form Games. - Eshwar Ram Arunachaleswaran; Natalie Collina; Yishay Mansour; Mehryar Mohri; Jon Schneider; Balasubramanian Sivan (EC, 2025)

Learning to Play Against Unknown Opponents. - Eshwar Ram Arunachaleswaran; Natalie Collina; Jon Schneider (EC, 2025)

An Elementary Predictor Obtaining Distance to Calibration. - Eshwar Ram Arunachaleswaran; Natalie Collina; Aaron Roth 001; Mirah Shi (SODA, 2025)

Tractable Agreement Protocols. - Natalie Collina; Surbhi Goel; Varun Gupta 006; Aaron Roth 001 (STOC, 2025)

Collaborative Prediction: Tractable Information Aggregation via Agreement. - Natalie Collina; Ira Globus-Harris; Surbhi Goel; Varun Gupta 006; Aaron Roth 001; Mirah Shi (CoRR, 2025)