| 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 | 263 | 2021 |
| 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 | 86 | 2021 |
| 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 | 79* | 2024 |
| 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 | 28 | 2022 |
| Dimensionality reduction for wasserstein barycenter Z Izzo, S Silwal, S Zhou Advances in neural information processing systems 34, 15582-15594, 2021 | 16 | 2021 |
| Importance tempering: Group robustness for overparameterized models Y Lu, W Ji, Z Izzo, L Ying arXiv preprint arXiv:2209.08745, 2022 | 7 | 2022 |
| Provable membership inference privacy Z Izzo, J Yoon, SO Arik, J Zou arXiv preprint arXiv:2211.06582, 2022 | 6 | 2022 |
| 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 | 6 | 2022 |
| Theory and Algorithms for Data-Centric Machine Learning Z Izzo Stanford University, 2023 | 5 | 2023 |
| Data-driven subgroup identification for linear regression Z Izzo, R Liu, J Zou International Conference on Machine Learning, 2023 | 5 | 2023 |
| A Theoretical Study of Dataset Distillation Z Izzo, J Zou NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | 1 | 2023 |
| Continuous-in-time limit for Bayesian bandits Y Zhu, Z Izzo, L Ying Journal of Machine Learning Research 24 (305), 1-35, 2023 | 1 | 2023 |
| Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization CJ Galappaththige, Z Izzo, X He, H Zhou, MH Khan arXiv preprint arXiv:2409.03509, 2024 | | 2024 |
| 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 |
James ZouStanford UniversityVerified email at stanford.edu
