Zachary Izzo

According to our database, Zachary Izzo authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Provable Membership Inference Privacy.

Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou

Trans. Mach. Learn. Res., 2024

Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization.

Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He, Honglu Zhou, Muhammad Haris Khan

CoRR, 2024

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Continuous-in-time Limit for Bayesian Bandits.

Yuhua Zhu, Zachary Izzo, Lexing Ying

J. Mach. Learn. Res., 2023

Data-Driven Subgroup Identification for Linear Regression.

Zachary Izzo, Ruishan Liu, James Zou

Proceedings of the International Conference on Machine Learning, 2023

2022

Importance Tempering: Group Robustness for Overparameterized Models.

Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying

CoRR, 2022

How to Learn when Data Gradually Reacts to Your Model.

Zachary Izzo, James Zou, Lexing Ying

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Dimensionality Reduction for Wasserstein Barycenter.

Zachary Izzo, Sandeep Silwal, Samson Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Borrowing From the Future: Addressing Double Sampling in Model-free Control.

Yuhua Zhu, Zachary Izzo, Lexing Ying

Proceedings of the Mathematical and Scientific Machine Learning, 2021

How to Learn when Data Reacts to Your Model: Performative Gradient Descent.

Zachary Izzo, Lexing Ying, James Zou

Proceedings of the 38th International Conference on Machine Learning, 2021

Approximate Data Deletion from Machine Learning Models.

Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.

Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Y. Zou

CoRR, 2020