Natalie P
Cited by
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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, ...
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2017
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
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
Agent prioritization for autonomous navigation
KS Refaat, K Ding, N Ponomareva, S Ross
2019 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2019
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
Using agent-based modelling and backtest to evaluate algorithmic trading strategies
N Ponomareva
University of Oxford, 2011
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
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
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