Hussein Hazimeh

35 papers A* 8A 2Misc 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Optimization Framework for Differentially Private Sparse Fine-Tuning. CoRR Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Hussein Hazimeh, Rahul Mazumder
2025	—	`conf`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. SaTML Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2025	—	`conf`	SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning. KDD (2) Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh
2025	A*	`conf`	Scaling Laws for Downstream Task Performance in Machine Translation. ICLR Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
2024	J	`jnl`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2024	A*	`conf`	OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. ICML Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder
2024	J	`jnl`	OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. CoRR Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder
2024	J	`jnl`	Scaling Laws for Downstream Task Performance of Large Language Models. CoRR Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
2023	A*	`conf`	Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
2023	J	`jnl`	Benchmarking Robustness to Adversarial Image Obfuscations. CoRR Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
2023	A*	`conf`	COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. KDD Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	J	`jnl`	COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. CoRR Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	A*	`conf`	Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. ICML Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	J	`jnl`	Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. CoRR Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	J	`jnl`	How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. CoRR Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Thakurta
2023	J	`jnl`	How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy. J. Artif. Intell. Res. Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Guha Thakurta
2023	J	`jnl`	L0Learn: A Scalable Package for Sparse Learning using L0 Regularization. J. Mach. Learn. Res. Hussein Hazimeh, Rahul Mazumder, Tim Nonet
2023	A	`conf`	Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. AISTATS Hussein Hazimeh, Natalia Ponomareva
2023	J	`jnl`	Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. CoRR Hussein Hazimeh, Natalia Ponomareva
2022	A*	`conf`	Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. KDD Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
2022	J	`jnl`	Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. CoRR Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
2022	J	`jnl`	L0Learn: A Scalable Package for Sparse Learning using L0 Regularization. CoRR Hussein Hazimeh, Rahul Mazumder, Tim Nonet
2022	J	`jnl`	Sparse regression at scale: branch-and-bound rooted in first-order optimization. Math. Program. Hussein Hazimeh, Rahul Mazumder, Ali Saab
2021	A*	`conf`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	J	`jnl`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	J	`jnl`	Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives. CoRR Hussein Hazimeh, Rahul Mazumder, Peter Radchenko
2021	J	`jnl`	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. J. Mach. Learn. Res. Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
2020	J	`jnl`	Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms. Oper. Res. Hussein Hazimeh, Rahul Mazumder
2020	A	`conf`	Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. AISTATS Hussein Hazimeh, Rahul Mazumder
2020	J	`jnl`	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. CoRR Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
2020	J	`jnl`	Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization. CoRR Hussein Hazimeh, Rahul Mazumder, Ali Saab
2020	A*	`conf`	The Tree Ensemble Layer: Differentiability meets Conditional Computation. ICML Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder
2020	J	`jnl`	The Tree Ensemble Layer: Differentiability meets Conditional Computation. CoRR Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder
2019	J	`jnl`	Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. CoRR Hussein Hazimeh, Rahul Mazumder
2015	Misc	`conf`	Axiomatic Analysis of Smoothing Methods in Language Models for Pseudo-Relevance Feedback. ICTIR Hussein Hazimeh, ChengXiang Zhai