Ponomareva, Natalia

13 publications

CPAL 2025 A Unified Framework for Sparse Plus Low-Rank Matrix Decomposition for LLMs Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder

ICLR 2025 Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

ICML 2024 OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder

ICLRW 2024 Scaling Laws for Downstream Task Performance of Large Language Models Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

ICML 2023 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

JAIR 2023 How to DP-Fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Guha Thakurta

AISTATS 2023 Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh, Natalia Ponomareva

ECML-PKDD 2022 Newer Is Not Always Better: Rethinking Transferability Metrics, Their Peculiarities, Stability and Performance Shibal Ibrahim, Natalia Ponomareva, Rahul Mazumder

NeurIPSW 2021 Newer Is Not Always Better: Rethinking Transferability Metrics, Their Peculiarities, Stability and Performance Shibal Ibrahim, Natalia Ponomareva, Rahul Mazumder

NeurIPS 2021 Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi

AISTATS 2020 Accelerating Gradient Boosting Machines Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab Mirrokni

ICML 2020 The Tree Ensemble Layer: Differentiability Meets Conditional Computation Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder

ECML-PKDD 2017 TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky