| 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 | 46 | 2020 |
| Accelerating Gradient Boosting Machines H Lu, SP Karimireddy, N Ponomareva, V Mirrokni International Conference on Artificial Intelligence and Statistics, 516-526, 2020 | 30 | 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 Conference …, 2017 | 29 | 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 | 25 | 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 | 21 | 2017 |
| Agent prioritization for autonomous navigation KS Refaat, K Ding, N Ponomareva, S Ross 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 17 | 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 | 9 | 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 | 5 | 2022 |
| 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 | 5 | 2019 |
| 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 | 3 | 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 and …, 2015 | 3 | 2015 |
| Using agent-based modelling and backtest to evaluate algorithmic trading strategies N Ponomareva University of Oxford, 2011 | 3 | 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 Conference …, 2023 | 2 | 2023 |
| Extending and Evaluating Agent-Based Models of Algorithmic Trading Strategies N Ponomareva, A Calinescu 2012 IEEE 17th International Conference on Engineering of Complex Computer …, 2012 | 2 | 2012 |
| Revisiting Agent-Based Models of Algorithmic Trading Strategies N Ponomareva, A Calinescu Transactions on Computational Collective Intelligence XVI, 92-121, 2014 | 1 | 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 | | 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 | | 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 | | 2023 |
| GNN Domain Adaptation using Optimal Transport Q Zhu, Y Jiao, H Wang, N Ponomareva, B Perozzi | | |
Hussein HazimehGoogle Research - Massachusetts Institute of TechnologyVerified email at mit.edu
