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Natalia Ponomareva 0001
Person information
- affiliation: Google Research, NYC, USA
Other persons with the same name
- Natalia Ponomareva — disambiguation page
- Natalia Ponomareva 0002
— JetBrains, Berlin, Germany
- Natalia Ponomareva 0003 — University of Wolverhampton, UK
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2020 – today
- 2024
- [c17]Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii:
Private prediction for large-scale synthetic text generation. EMNLP (Findings) 2024: 7244-7262 - [c16]Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder:
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. ICML 2024 - [c15]Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr:
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. NAACL-HLT 2024: 3920-3930 - [i18]Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo:
Scaling Laws for Downstream Task Performance of Large Language Models. CoRR abs/2402.04177 (2024) - [i17]Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR abs/2402.11120 (2024) - [i16]Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder:
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. CoRR abs/2403.12983 (2024) - [i15]Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii:
Private prediction for large-scale synthetic text generation. CoRR abs/2407.12108 (2024) - 2023
- [j1]Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Guha Thakurta:
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. J. Artif. Intell. Res. 77: 1113-1201 (2023) - [c14]Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. AISTATS 2023: 3018-3033 - [c13]Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder:
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. ICML 2023: 2031-2049 - [c12]Shibal Ibrahim
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. KDD 2023: 832-844 - [c11]Natalia Ponomareva
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. KDD 2023: 5823-5824 - [i14]Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. CoRR abs/2302.00089 (2023) - [i13]Riade Benbaki, Wenyu Chen
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. CoRR abs/2302.14623 (2023) - [i12]Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Thakurta:
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. CoRR abs/2303.00654 (2023) - [i11]Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva, Alex Kurakin, Matthew Jagielski, Milad Nasr:
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models. CoRR abs/2305.05973 (2023) - [i10]Alexey Kurakin, Natalia Ponomareva, Umar Syed, Liam MacDermed, Andreas Terzis:
Harnessing large-language models to generate private synthetic text. CoRR abs/2306.01684 (2023) - [i9]Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder:
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. CoRR abs/2306.02824 (2023) - [i8]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - 2022
- [c10]Natalia Ponomareva, Jasmijn Bastings, Sergei Vassilvitskii:
Training Text-to-Text Transformers with Privacy Guarantees. ACL (Findings) 2022: 2182-2193 - [c9]Shibal Ibrahim, Natalia Ponomareva, Rahul Mazumder:
Newer is Not Always Better: Rethinking Transferability Metrics, Their Peculiarities, Stability and Performance. ECML/PKDD (1) 2022: 693-709 - 2021
- [c8]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS 2021: 27965-27977 - [i7]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR abs/2108.01099 (2021) - [i6]Shibal Ibrahim, Natalia Ponomareva, Rahul Mazumder:
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance. CoRR abs/2110.06893 (2021) - 2020
- [c7]Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab S. Mirrokni:
Accelerating Gradient Boosting Machines. AISTATS 2020: 516-526 - [c6]Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder:
The Tree Ensemble Layer: Differentiability meets Conditional Computation. ICML 2020: 4138-4148 - [i5]Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder:
The Tree Ensemble Layer: Differentiability meets Conditional Computation. CoRR abs/2002.07772 (2020)
2010 – 2019
- 2019
- [c5]Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross:
Agent Prioritization for Autonomous Navigation. IROS 2019: 2060-2067 - [i4]Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab S. Mirrokni:
Accelerating Gradient Boosting Machine. CoRR abs/1903.08708 (2019) - [i3]Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross:
Agent Prioritization for Autonomous Navigation. CoRR abs/1909.08792 (2019) - 2017
- [c4]Natalia Ponomareva, Thomas Colthurst, Gilbert Hendry, Salem Haykal, Soroush Radpour:
Compact multi-class boosted trees. IEEE BigData 2017: 47-56 - [c3]A. Seza Dogruöz, Natalia Ponomareva, Sertan Girgin, Reshu Jain, Christoph Oehler:
Text based user comments as a signal for automatic language identification of online videos. ICMI 2017: 374-378 - [c2]Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky:
TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting. ECML/PKDD (3) 2017: 423-427 - [i2]Natalia Ponomareva, Thomas Colthurst, Gilbert Hendry, Salem Haykal, Soroush Radpour:
Compact Multi-Class Boosted Trees. CoRR abs/1710.11547 (2017) - [i1]Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky:
TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting. CoRR abs/1710.11555 (2017) - 2015
- [c1]Christophe Restif, Natalia Ponomareva, Krzysztof Ostrowski:
A Classifier for the Latency-CPU Behaviors of Serving Jobs in Distributed Environments. CloudCom 2015: 123-130
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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