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2020 – today
- 2024
[j2]Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou:
Provable Membership Inference Privacy. Trans. Mach. Learn. Res. 2024 (2024)- [c7]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 2024 - [i11]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR abs/2403.07183 (2024) - [i10]Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He, Honglu Zhou, Muhammad Haris Khan:
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization. CoRR abs/2409.03509 (2024) - 2023
- [j1]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. J. Mach. Learn. Res. 24: 305:1-305:35 (2023) - [c6]Zachary Izzo, Ruishan Liu, James Zou:
Data-Driven Subgroup Identification for Linear Regression. ICML 2023: 14531-14552 - [i9]Zachary Izzo, Ruishan Liu, James Zou:
Data-Driven Subgroup Identification for Linear Regression. CoRR abs/2305.00195 (2023) - 2022
- [c5]Zachary Izzo, James Zou, Lexing Ying:
How to Learn when Data Gradually Reacts to Your Model. AISTATS 2022: 3998-4035 - [i8]Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying:
Importance Tempering: Group Robustness for Overparameterized Models. CoRR abs/2209.08745 (2022) - [i7]Yuhua Zhu, Zach Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. CoRR abs/2210.07513 (2022) - [i6]Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou:
Provable Membership Inference Privacy. CoRR abs/2211.06582 (2022) - 2021
- [c4]Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou:
Approximate Data Deletion from Machine Learning Models. AISTATS 2021: 2008-2016 - [c3]Zachary Izzo, Lexing Ying, James Zou:
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. ICML 2021: 4641-4650 - [c2]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. MSML 2021: 1099-1136 - [c1]Zachary Izzo, Sandeep Silwal, Samson Zhou:
Dimensionality Reduction for Wasserstein Barycenter. NeurIPS 2021: 15582-15594 - [i5]Zachary Izzo, Lexing Ying, James Zou:
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. CoRR abs/2102.07698 (2021) - [i4]Zachary Izzo, Sandeep Silwal, Samson Zhou:
Dimensionality Reduction for Wasserstein Barycenter. CoRR abs/2110.08991 (2021) - [i3]Zachary Izzo, James Zou, Lexing Ying:
How to Learn when Data Gradually Reacts to Your Model. CoRR abs/2112.07042 (2021) - 2020
- [i2]Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Y. Zou:
Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations. CoRR abs/2002.10077 (2020) - [i1]Yuhua Zhu, Zach Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. CoRR abs/2006.06173 (2020)
Coauthor Index
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