Bounding Regret in Empirical Games. - Steven Jecmen; Arunesh Sinha; Zun Li 002; Long Tran-Thanh (AAAI, 2020)

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Nihar B. Shah; Vincent Conitzer; Fei Fang 001 (NeurIPS, 2020)

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. - Steven Jecmen; Hanrui Zhang 001; Ryan Liu 001; Fei Fang 001; Vincent Conitzer; Nihar B. Shah (AAMAS, 2022)

Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise. - Komal Dhull; Steven Jecmen; Pravesh Kothari; Nihar B. Shah (HCOMP, 2022)

The Price of Strategyproofing Peer Assessment. - Komal Dhull; Steven Jecmen; Pravesh Kothari; Nihar B. Shah (CoRR, 2022)

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. - Steven Jecmen; Nihar B. Shah; Fei Fang 001; Vincent Conitzer (CoRR, 2022)

Counterfactual Evaluation of Peer-Review Assignment Policies. - Martin Saveski; Steven Jecmen; Nihar B. Shah; Johan Ugander (NeurIPS, 2023)

A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. - Yixuan Xu; Steven Jecmen; Zimeng Song; Fei Fang 001 (NeurIPS, 2023)

A Dataset on Malicious Paper Bidding in Peer Review. - Steven Jecmen; Minji Yoon; Vincent Conitzer; Nihar B. Shah; Fei Fang 001 (WWW, 2023)

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. - Ryan Liu 001; Steven Jecmen; Vincent Conitzer; Fei Fang 001; Nihar B. Shah (CoRR, 2023)

A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. - Yixuan Even Xu; Steven Jecmen; Zimeng Song; Fei Fang 001 (CoRR, 2023)

Making Peer Review Robust to Undesirable Behavior - Steven Jecmen (2024)

On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. - Steven Jecmen; Nihar B. Shah; Fei Fang 001; Leman Akoglu (Trans. Mach. Learn. Res., 2025)