Fred Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Regret Minimization

Top Venues

Publications

Fred Zhang, Neel Nanda
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods. ICLR (2024)
Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. ICLR (2024)
Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. CoRR (2024)
Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt
Approaching Human-Level Forecasting with Language Models. CoRR (2024)
Binghui Peng, Fred Zhang
Online Prediction in Sub-linear Space. SODA (2023)
Anders Aamand, Justin Y. Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang
Constant Approximation for Individual Preference Stable Clustering. CoRR (2023)
Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou
Robust Algorithms on Adaptive Inputs from Bounded Adversaries. CoRR (2023)
Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou
Robust Algorithms on Adaptive Inputs from Bounded Adversaries. ICLR (2023)
David P. Woodruff, Fred Zhang, Samson Zhou
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust. CoRR (2023)
Kyle Fox, Debmalya Panigrahi, Fred Zhang
-Cut in Hypergraphs via Branching Contractions. ACM Trans. Algorithms 19 (2) (2023)
David P. Woodruff, Fred Zhang, Samson Zhou
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds. NeurIPS (2023)
Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang
Privately Estimating a Gaussian: Efficient, Robust, and Optimal. STOC (2023)
Anders Aamand, Justin Y. Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang
Constant Approximation for Individual Preference Stable Clustering. NeurIPS (2023)
Fred Zhang, Neel Nanda
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods. CoRR (2023)
Emmanouil Zampetakis, Fred Zhang
Bayesian Strategy-Proof Facility Location via Robust Estimation. AISTATS (2023)
Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang
Privately Estimating a Gaussian: Efficient, Robust and Optimal. CoRR (2022)
Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang
Faster Fundamental Graph Algorithms via Learned Predictions. CoRR (2022)
Binghui Peng, Fred Zhang
Online Prediction in Sub-linear Space. CoRR (2022)
Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang
Faster Fundamental Graph Algorithms via Learned Predictions. ICML (2022)
David P. Woodruff, Fred Zhang, Richard Zhang
Optimal Query Complexities for Dynamic Trace Estimation. NeurIPS (2022)
David P. Woodruff, Fred Zhang, Qiuyi Zhang
Optimal Query Complexities for Dynamic Trace Estimation. CoRR (2022)
Alexander Wei, Fred Zhang
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms. NeurIPS (2020)
Samuel B. Hopkins, Jerry Li, Fred Zhang
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization. CoRR (2020)
Alexander Wei, Fred Zhang
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms. CoRR (2020)
Samuel B. Hopkins, Jerry Li, Fred Zhang
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization. NeurIPS (2020)
Zhixian Lei, Kyle Luh, Prayaag Venkat, Fred Zhang
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates. COLT (2020)
Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
SGD on Neural Networks Learns Functions of Increasing Complexity. CoRR (2019)
Kyle Fox, Debmalya Panigrahi, Fred Zhang
Minimum Cut and Minimum k-Cut in Hypergraphs via Branching Contractions. SODA (2019)
Zhixian Lei, Kyle Luh, Prayaag Venkat, Fred Zhang
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates. CoRR (2019)