Natalie P
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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
Accelerating Gradient Boosting Machines
H Lu, SP Karimireddy, N Ponomareva, V Mirrokni
International Conference on Artificial Intelligence and Statistics, 516-526, 2020
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 Conferenceá…, 2017
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
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
Agent prioritization for autonomous navigation
KS Refaat, K Ding, N Ponomareva, S Ross
2019 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2019
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, ...
arXiv preprint arXiv:2303.00654, 2023
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
Methods, systems, and media for language identification of a media content item based on comments
AS Doğru÷z, N Ponomareva, CU Oehler, D Kanevsky
US Patent 10,430,835, 2019
Text based user comments as a signal for automatic language identification of online videos
AS Doğru÷z, N Ponomareva, S Girgin, R Jain, C Oehler
Proceedings of the 19th ACM International Conference on Multimodalá…, 2017
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 andá…, 2015
Using agent-based modelling and backtest to evaluate algorithmic trading strategies
N Ponomareva
University of Oxford, 2011
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
S Ibrahim, N Ponomareva, R Mazumder
Machine Learning and Knowledge Discovery in Databases: European Conferenceá…, 2023
Extending and Evaluating Agent-Based Models of Algorithmic Trading Strategies
N Ponomareva, A Calinescu
2012 IEEE 17th International Conference on Engineering of Complex Computerá…, 2012
Revisiting Agent-Based Models of Algorithmic Trading Strategies
N Ponomareva, A Calinescu
Transactions on Computational Collective Intelligence XVI, 92-121, 2014
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
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
H Hazimeh, N Ponomareva
International Conference on Artificial Intelligence and Statistics, 3018-3033, 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ...
arXiv preprint arXiv:2302.14623, 2023
GNN Domain Adaptation using Optimal Transport
Q Zhu, Y Jiao, H Wang, N Ponomareva, B Perozzi
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