James Zou and Lexing Ying.
I can be reached at zach at nec-labs dot com.
Monitoring AI-Modified Content at Scale [Article 1] [2] [3] [4]
Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.
ICML 2024 (Oral)
Provable Membership Inference Privacy
Zachary Izzo, Jinsung Yoon, Sercan Arik, James Zou
TMLR 2024
Continuous-in-Time Limit for Bayesian Bandits
Yuhua Zhu, Zachary Izzo, Lexing Ying
JMLR 2023
Data-Driven Subgroup Identification for Linear Regression
Zachary Izzo, Ruishan Liu, James Zou
ICML 2023
How to Learn when Data Gradually Reacts to Your Model
Zachary Izzo, James Zou, Lexing Ying
AISTATS 2022
Dimensionality Reduction for Wasserstein Barycenter
Zachary Izzo, Sandeep Silwal, Samson Zhou
NeurIPS 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo, Lexing Ying, James Zou
ICML 2021
Borrowing From the Future: Addressing Double Sampling in Model-free Control
Yuhua Zhu, Zachary Izzo, Lexing Ying
MSML 2021
Approximate Data Deletion from Machine Learning Models [Article]
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou
AISTATS 2021
Quantitative Bounds for Length Generalization in Transformers
Zachary Izzo, Eshaan Nichani, Jason D. Lee
ICML HiLD & MOSS, COLT FoPT 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen, Yinuo Ren, Martin Renqiang Min, Lexing Ying, Zachary Izzo
arXiv 2025
Subgroup Discovery with the Cox Model
Zachary Izzo, Iain Melvin
NeurIPS IAI 2024
A Theoretical Study of Dataset Distillation
Zachary Izzo, James Zou
NeurIPS M3L 2023
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying
arXiv 2022