Hussein Hazimeh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Combinatorial Optimization

Sparse Regression

Top Venues

J. Mach. Learn. Res.

Publications

Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
Scaling Laws for Downstream Task Performance of Large Language Models. CoRR (2024)
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 (2024)
Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR (2024)
Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. KDD (2023)
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 (2023)
Hussein Hazimeh, Natalia Ponomareva
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. CoRR (2023)
Hussein Hazimeh, Natalia Ponomareva
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. AISTATS (2023)
Hussein Hazimeh, Rahul Mazumder, Tim Nonet
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization. J. Mach. Learn. Res. 24 (2023)
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
Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS (2023)
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)
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 (2023)
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 (2023)
Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. CoRR (2023)
Hussein Hazimeh, Rahul Mazumder, Tim Nonet
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization. CoRR (2022)
Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. KDD (2022)
Hussein Hazimeh, Rahul Mazumder, Ali Saab
Sparse regression at scale: branch-and-bound rooted in first-order optimization. Math. Program. 196 (1) (2022)
Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. CoRR (2022)
Hussein Hazimeh, Rahul Mazumder, Peter Radchenko
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives. CoRR (2021)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR (2021)
Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. J. Mach. Learn. Res. 22 (2021)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS (2021)
Hussein Hazimeh, Rahul Mazumder
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. AISTATS (2020)
Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. CoRR (2020)
Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder
The Tree Ensemble Layer: Differentiability meets Conditional Computation. ICML (2020)
Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder
The Tree Ensemble Layer: Differentiability meets Conditional Computation. CoRR (2020)
Hussein Hazimeh, Rahul Mazumder
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms. Oper. Res. 68 (5) (2020)
Hussein Hazimeh, Rahul Mazumder, Ali Saab
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization. CoRR (2020)
Hussein Hazimeh, Rahul Mazumder
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. CoRR (2019)
Hussein Hazimeh, ChengXiang Zhai
Axiomatic Analysis of Smoothing Methods in Language Models for Pseudo-Relevance Feedback. ICTIR (2015)