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Zachary Izzo
Observed names:
Izzo, Zach,
Izzo, Zachary
Institution:
NEC (United States)
Observed institutions:
NEC (United States),
Stanford University
OpenAlex ID:
A5029431777
Approximate Data Deletion from Machine Learning Models
2020
·
Izzo, Zachary
, Smart, Mary Anne
, et al.
·
arXiv (Cornell University)
·
78
PDF
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
2024
·
Liang, Weixin
, Izzo, Zachary
, et al.
·
arXiv (Cornell University)
·
73
PDF
Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.
2020
·
Zachary Izzo
, Mary Anne Smart
, et al.
·
arXiv (Cornell University)
·
15
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
2021
·
Izzo, Zachary
, Ying, Lexing
, et al.
·
arXiv (Cornell University)
·
11
PDF
Dimensionality Reduction for Wasserstein Barycenter
2021
·
Izzo, Zachary
, Silwal, Sandeep
, et al.
·
arXiv (Cornell University)
·
6
PDF
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
2025
·
Chamuditha Jayanaga Galappaththige
, Zachary Izzo
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
5
PDF
Borrowing From the Future: Addressing Double Sampling in Model-free Control
2020
·
Zhu, Yuhua
, Izzo, Zach
, et al.
·
arXiv (Cornell University)
·
3
PDF
To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
2025
·
Bianchi, Federico
, Kwon, Yongchan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Data-Driven Subgroup Identification for Linear Regression
2023
·
Izzo, Zachary
, Liu, Ruishan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Provable Membership Inference Privacy
2022
·
Izzo, Zachary
, Yoon, Jinsung
, et al.
·
arXiv (Cornell University)
·
1
PDF
How to Learn when Data Gradually Reacts to Your Model
2021
·
Izzo, Zachary
, Zou, James
, et al.
·
arXiv (Cornell University)
·
1
PDF
Causal Survival Forests with Negative Controls
2026
·
Gao, Zijun
, Hong, Kyoungeui
, et al.
·
arXiv (Cornell University)
PDF
Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions
2026
·
Izzo, Zachary
·
arXiv (Cornell University)
PDF
Subgroup Discovery with the Cox Model
2025
·
Izzo, Zachary
, Melvin, Iain
·
arXiv (Cornell University)
PDF
Quantitative Bounds for Length Generalization in Transformers
2025
·
Izzo, Zachary
, Nichani, Eshaan
, et al.
·
arXiv (Cornell University)
PDF
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
2025
·
Chen, Haoxuan
, Ren, Yinuo
, et al.
·
arXiv (Cornell University)
PDF
Matching Confidences and Softened Target Occurrences for Calibration
2024
·
Vinith Kugathasan
, Honglu Zhou
, et al.
·
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Stateful Performative Gradient Descent
2024
·
Izzo, Zachary
·
TIB Data Manager
Continuous-in-time Limit for Bayesian Bandits
2022
·
Zhu, Yuhua
, Izzo, Zachary
, et al.
·
arXiv (Cornell University)
PDF
Importance Tempering: Group Robustness for Overparameterized Models
2022
·
Lu, Yiping
, Ji, Wenlong
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
21
Citation count:
195
H-index:
5
I10-index:
4
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