Zachary Robertson

According to our database, Zachary Robertson authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Value Alignment of Social Media Ranking Algorithms.

Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi, Zachary Robertson, Ziv Epstein, Sanmi Koyejo, Michael S. Bernstein

CoRR, September, 2025

Let's Measure Information Step-by-Step: LLM-Based Evaluation Beyond Vibes.

Zachary Robertson, Sanmi Koyejo

CoRR, August, 2025

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, May, 2025

2024

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks.

Zachary Robertson, Sanmi Koyejo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study.

Zachary Robertson

CoRR, 2023

Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks.

Zachary Robertson, Oluwasanmi Koyejo

CoRR, 2023

No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions.

Zachary Robertson, Oluwasanmi Koyejo

CoRR, 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

Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions.

Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo

Proceedings of the International Conference on Machine Learning, 2023

Cooperative Inverse Decision Theory for Uncertain Preferences.

Zachary Robertson, Hantao Zhang, Sanmi Koyejo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023