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Natalia Ponomareva
Natalia Ponomareva
Google, Oxford University
Verified email at google.com
Title
Cited by
Cited by
Year
How to dp-fy ml: A practical guide to machine learning with differential privacy
N Ponomareva, H Hazimeh, A Kurakin, Z Xu, C Denison, HB McMahan, ...
Journal of Artificial Intelligence Research 77, 1113-1201, 2023
1152023
Shift-robust gnns: Overcoming the limitations of localized graph training data
Q Zhu, N Ponomareva, J Han, B Perozzi
Advances in Neural Information Processing Systems 34, 27965-27977, 2021
1052021
The tree ensemble layer: Differentiability meets conditional computation
H Hazimeh, N Ponomareva, P Mol, Z Tan, R Mazumder
International Conference on Machine Learning, 4138-4148, 2020
1002020
Accelerating Gradient Boosting Machines
H Lu, SP Karimireddy, N Ponomareva, V Mirrokni
International Conference on Artificial Intelligence and Statistics, 516-526, 2020
462020
Privacy-preserving recommender systems with synthetic query generation using differentially private large language models
AG Carranza, R Farahani, N Ponomareva, A Kurakin, M Jagielski, M Nasr
arXiv preprint arXiv:2305.05973, 2023
292023
Training Text-to-Text Transformers with Privacy Guarantees
N Ponomareva, J Bastings, S Vassilvitskii
Findings of the Association for Computational Linguistics: ACL 2022, 2182-2193, 2022
292022
Tf boosted trees: A scalable tensorflow based framework for gradient boosting
N Ponomareva, S Radpour, G Hendry, S Haykal, T Colthurst, P Mitrichev, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
282017
Compact multi-class boosted trees
N Ponomareva, T Colthurst, G Hendry, S Haykal, S Radpour
2017 IEEE International Conference on Big Data (Big Data), 47-56, 2017
262017
Agent prioritization for autonomous navigation
KS Refaat, K Ding, N Ponomareva, S Ross
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
222019
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
S Ibrahim, N Ponomareva, R Mazumder
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
202022
Harnessing large-language models to generate private synthetic text
A Kurakin, N Ponomareva, U Syed, L MacDermed, A Terzis
arXiv preprint arXiv:2306.01684, 2023
182023
Fast as chita: Neural network pruning with combinatorial optimization
R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ...
International Conference on Machine Learning, 2031-2049, 2023
172023
Scaling laws for downstream task performance of large language models
B Isik, N Ponomareva, H Hazimeh, D Paparas, S Vassilvitskii, S Koyejo
arXiv preprint arXiv:2402.04177, 2024
132024
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
N Ponomareva, S Vassilvitskii, Z Xu, B McMahan, A Kurakin, C Zhang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
102023
Explaining and Adapting Graph Conditional Shift
Q Zhu, Y Jiao, N Ponomareva, J Han, B Perozzi
arXiv preprint arXiv:2306.03256, 2023
92023
Methods, systems, and media for language identification of a media content item based on comments
AS Doğruöz, N Ponomareva, CU Oehler, D Kanevsky
US Patent 10,430,835, 2019
82019
Comet: Learning cardinality constrained mixture of experts with trees and local search
S Ibrahim, W Chen, H Hazimeh, N Ponomareva, Z Zhao, R Mazumder
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Using agent-based modelling and backtest to evaluate algorithmic trading strategies
N Ponomareva
University of Oxford, 2011
42011
Text based user comments as a signal for automatic language identification of online videos
AS Doğruöz, N Ponomareva, S Girgin, R Jain, C Oehler
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
32017
A classifier for the latency-CPU behaviors of serving jobs in distributed environments
C Restif, N Ponomareva, K Ostrowski
2015 IEEE 7th International Conference on Cloud Computing Technology and …, 2015
32015
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