| 2025 | ICLR | ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities. | Ezra Karger, Houtan Bastani, Yueh-Han Chen, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip Tetlock |
| 2024 | ICLR | Adaptive Regret for Bandits Made Possible: Two Queries Suffice. | Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan |
| 2024 | ICLR | Towards Best Practices of Activation Patching in Language Models: Metrics and Methods. | Fred Zhang, Neel Nanda |
| 2023 | AISTATS | Bayesian Strategy-Proof Facility Location via Robust Estimation. | Emmanouil Zampetakis, Fred Zhang |
| 2023 | ICLR | Robust Algorithms on Adaptive Inputs from Bounded Adversaries. | Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou |
| 2023 | SODA | Online Prediction in Sub-linear Space. | Binghui Peng, Fred Zhang |
| 2023 | STOC | Privately Estimating a Gaussian: Efficient, Robust, and Optimal. | Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang |
| 2022 | ICML | Faster Fundamental Graph Algorithms via Learned Predictions. | Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang |
| 2020 | COLT | A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates. | Zhixian Lei, Kyle Luh, Prayaag Venkat, Fred Zhang |
| 2019 | SODA | Minimum Cut and Minimum k-Cut in Hypergraphs via Branching Contractions. | Kyle Fox, Debmalya Panigrahi, Fred Zhang |