Follow
Vinith M. Suriyakumar
Title
Cited by
Cited by
Year
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
VM Suriyakumar, N Papernot, A Goldenberg, M Ghassemi
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2021, 2020
642020
Public Data-Assisted Mirror Descent for Private Model Training
E Amid, A Ganesh, R Matthews, S Ramaswamy, S Song, T Steinke, ...
https://arxiv.org/abs/2112.00193, 2021
502021
Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness
V Cheng, VM Suriyakumar, N Dullerud, S Joshi, M Ghassemi
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2021, 2020
492020
One-shot empirical privacy estimation for federated learning
G Andrew, P Kairouz, S Oh, A Oprea, HB McMahan, V Suriyakumar
arXiv preprint arXiv:2302.03098, 2023
172023
When personalization harms: Reconsidering the use of group attributes in prediction
VM Suriyakumar, M Ghassemi, B Ustun
arXiv preprint arXiv:2206.02058, 2022
152022
Algorithms that Approximate Data Removal: New Results and Limitations
VM Suriyakumar, AC Wilson
NeurIPS 2022, 2022
112022
Open-source software for collision detection in external beam radiation therapy
VM Suriyakumar, R Xu, C Pinter, G Fichtinger
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and …, 2017
52017
Algorithmic pluralism: A structural approach towards equal opportunity
S Jain, V Suriyakumar, A Wilson
arXiv preprint arXiv:2305.08157, 2023
42023
Using Generative Models for Pediatric wbMRI
A Chang, VM Suriyakumar, A Moturu, N Tewattanarat, A Doria, ...
Medical Imaging in Deep Learning, 2020
42020
Challenges of differentially private prediction in healthcare settings
VM Suriyakumar, N Papernot, A Goldenberg, M Ghassemi
Proceedings of the IJCAI 2021 Workshop on AI for Social Good, 2021
22021
Architecture-level modeling of photonic deep neural network accelerators
T Andrulis, GI Chaudhry, VM Suriyakumar, JS Emer, V Sze
arXiv preprint arXiv:2405.07266, 2024
12024
When personalization harms performance: reconsidering the use of group attributes in prediction
VM Suriyakumar, M Ghassemi, B Ustun
International Conference on Machine Learning, 33209-33228, 2023
12023
Algorithmic Pluralism
S JAIN, VM SURIYAKUMAR, KA CREEL, AC WILSON
arXiv preprint arXiv:2305.08157, 2023
2023
Leveraging Public Data in Training Neural Networks with Private Mirror Descent
OD Thakkar, E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, ...
US Patent App. 17/937,825, 2023
2023
Private Multi-Winner Voting for Machine Learning
A Dziedzic, CA Choquette-Choo, N Dullerud, VM Suriyakumar, ...
arXiv preprint arXiv:2211.15410, 2022
2022
Limits of Algorithmic Stability for Distributional Generalization
N Hulkund, VM Suriyakumar, TW Killian, M Ghassemi
2022
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
A Chang, V Suriyakumar, A Moturu, J Tu, N Tewattanarat, S Joshi, A Doria, ...
arXiv preprint arXiv:2103.13497, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–17