Fred Zhang

According to our database, Fred Zhang authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities.

Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip E. Tetlock

CoRR, 2024

Approaching Human-Level Forecasting with Language Models.

Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt

CoRR, 2024

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

Fred Zhang, Neel Nanda

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Regret for Bandits Made Possible: Two Queries Suffice.

Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Minimum Cut and Minimum <i>k</i>-Cut in Hypergraphs via Branching Contractions.

Kyle Fox, Debmalya Panigrahi, Fred Zhang

ACM Trans. Algorithms, April, 2023

Streaming Algorithms for Learning with Experts: Deterministic Versus Robust.

David P. Woodruff, Fred Zhang, Samson Zhou

CoRR, 2023

Privately Estimating a Gaussian: Efficient, Robust, and Optimal.

Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Online Prediction in Sub-linear Space.

Binghui Peng, Fred Zhang

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds.

David P. Woodruff, Fred Zhang, Samson Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constant Approximation for Individual Preference Stable Clustering.

Anders Aamand, Justin Y. Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Algorithms on Adaptive Inputs from Bounded Adversaries.

Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bayesian Strategy-Proof Facility Location via Robust Estimation.

Emmanouil Zampetakis, Fred Zhang

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

2022

Optimal Query Complexities for Dynamic Trace Estimation.

David P. Woodruff, Fred Zhang, Richard Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Faster Fundamental Graph Algorithms via Learned Predictions.

Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang

Proceedings of the International Conference on Machine Learning, 2022

2020

Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms.

Alexander Wei, Fred Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization.

Samuel B. Hopkins, Jerry Li, Fred Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates.

Zhixian Lei, Kyle Luh, Prayaag Venkat, Fred Zhang

Proceedings of the Conference on Learning Theory, 2020

2019

Minimum Cut and Minimum k-Cut in Hypergraphs via Branching Contractions.

Kyle Fox, Debmalya Panigrahi, Fred Zhang

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

SGD on Neural Networks Learns Functions of Increasing Complexity.

Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019