Cooperative Inverse Decision Theory for Uncertain Preferences. - Zachary Robertson; Hantao Zhang; Sanmi Koyejo (AISTATS, 2023)

Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. - Boxiang Lyu; Zhe Feng; Zachary Robertson; Sanmi Koyejo (ICML, 2023)

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. - Rylan Schaeffer; Mikail Khona; Zachary Robertson; Akhilan Boopathy; Kateryna Pistunova; Jason W. Rocks; Ila Rani Fiete; Oluwasanmi Koyejo (CoRR, 2023)

No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions. - Zachary Robertson; Oluwasanmi Koyejo (CoRR, 2023)

Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks. - Zachary Robertson; Oluwasanmi Koyejo (CoRR, 2023)

GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study. - Zachary Robertson (CoRR, 2023)

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks. - Zachary Robertson; Sanmi Koyejo (ICML, 2024)

Measurement to Meaning: A Validity-Centered Framework for AI Evaluation. - Olawale Salaudeen; Anka Reuel; Ahmed Ahmed; Suhana Bedi; Zachary Robertson; Sudharsan Sundar; Ben Domingue; Angelina Wang; Sanmi Koyejo (CoRR, 2025)

Let's Measure Information Step-by-Step: LLM-Based Evaluation Beyond Vibes. - Zachary Robertson; Sanmi Koyejo (CoRR, 2025)