Scholar
Zachary Izzo
Google Scholar ID: K9XheYUAAAAJ
Researcher, NEC Labs America
Citations & Impact
Citations
817
H-index
8
i10-index
6
Publications
19
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Monitoring AI-Modified Content at Scale, ICML 2024 (Oral)
- Provable Membership Inference Privacy, TMLR 2024
- Continuous-in-Time Limit for Bayesian Bandits, JMLR 2023
- Data-Driven Subgroup Identification for Linear Regression, ICML 2023
- How to Learn when Data Gradually Reacts to Your Model, AISTATS 2022
- Dimensionality Reduction for Wasserstein Barycenter, NeurIPS 2021
- How to Learn when Data Reacts to Your Model: Performative Gradient Descent, ICML 2021
- Borrowing From the Future: Addressing Double Sampling in Model-free Control, MSML 2021
- Approximate Data Deletion from Machine Learning Models, AISTATS 2021
Research Experience
- Researcher in the machine learning department at NEC Labs North America.
Education
- Completed PhD in mathematics at Stanford University in 2023, co-advised by James Zou and Lexing Ying.
Background
- A researcher in the machine learning department, broadly interested in algorithm development for core ML with theoretical guarantees.
Miscellany
- Can be reached at zach at nec-labs dot com.
