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Zachary Izzo
Zachary Izzo
Researcher, NEC Labs, America
Verified email at nec-labs.com - Homepage
Title
Cited by
Cited by
Year
Approximate data deletion from machine learning models
Z Izzo, MA Smart, K Chaudhuri, J Zou
International Conference on Artificial Intelligence and Statistics, 2008-2016, 2021
1752021
How to learn when data reacts to your model: performative gradient descent
Z Izzo, L Ying, J Zou
International Conference on Machine Learning, 4641-4650, 2021
592021
How to learn when data gradually reacts to your model
Z Izzo, J Zou, L Ying
International Conference on Artificial Intelligence and Statistics, 3998-4035, 2022
212022
Dimensionality reduction for wasserstein barycenter
Z Izzo, S Silwal, S Zhou
Advances in neural information processing systems 34, 15582-15594, 2021
162021
Provable membership inference privacy
Z Izzo, J Yoon, SO Arik, J Zou
arXiv preprint arXiv:2211.06582, 2022
52022
Importance tempering: Group robustness for overparameterized models
Y Lu, W Ji, Z Izzo, L Ying
arXiv preprint arXiv:2209.08745, 2022
52022
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
W Liang, Z Izzo, Y Zhang, H Lepp, H Cao, X Zhao, L Chen, H Ye, S Liu, ...
arXiv preprint arXiv:2403.07183, 2024
42024
Borrowing From the Future: Addressing Double Sampling in Model-free Control
Y Zhu, Z Izzo, L Ying
Mathematical and Scientific Machine Learning, 1099-1136, 2022
42022
Data-driven subgroup identification for linear regression
Z Izzo, R Liu, J Zou
International Conference on Machine Learning, 2023
32023
A Theoretical Study of Dataset Distillation
Z Izzo, J Zou
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
2023
Multiclass Alignment of Confidences and Softened Target Occurrences for Train-time Calibration
V Kugathasan, H Zhou, Z Izzo, G Kuruppu, S Yoon, MH Khan
2023
Theory and Algorithms for Data-Centric Machine Learning
Z Izzo
Stanford University, 2023
2023
Continuous-in-time Limit for Bayesian Bandits
Y Zhu, Z Izzo, L Ying
Journal of Machine Learning Research 24 (305), 1-35, 2023
2023
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Articles 1–13