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Hussein Hazimeh
Hussein Hazimeh
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Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms
H Hazimeh, R Mazumder
Operations Research 68 (5), 1517-1537, 2020
1832020
Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning
H Hazimeh, Z Zhao, A Chowdhery, M Sathiamoorthy, Y Chen, ...
Advances in Neural Information Processing Systems 34, 2021
892021
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
852020
Sparse regression at scale: Branch-and-bound rooted in first-order optimization
H Hazimeh, R Mazumder, A Saab
Mathematical Programming 196 (1-2), 347-388, 2022
832022
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, ...
Journal of Artificial Intelligence Research 77, 1113-1201, 2023
662023
Learning sparse classifiers: Continuous and mixed integer optimization perspectives
A Dedieu, H Hazimeh, R Mazumder
Journal of Machine Learning Research 22 (135), 1-47, 2021
472021
Axiomatic analysis of smoothing methods in language models for pseudo-relevance feedback
H Hazimeh, CX Zhai
Proceedings of the 2015 international conference on the theory of …, 2015
302015
Grouped variable selection with discrete optimization: Computational and statistical perspectives
H Hazimeh, R Mazumder, P Radchenko
The Annals of Statistics 51 (1), 1-32, 2023
212023
Learning hierarchical interactions at scale: A convex optimization approach
H Hazimeh, R Mazumder
International Conference on Artificial Intelligence and Statistics, 1833-1843, 2020
202020
L0learn: A scalable package for sparse learning using l0 regularization
H Hazimeh, R Mazumder, T Nonet
Journal of Machine Learning Research 24 (205), 1-8, 2023
11*2023
Fast as chita: Neural network pruning with combinatorial optimization
R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ...
International Conference on Machine Learning, 2031-2049, 2023
92023
Benchmarking robustness to adversarial image obfuscations
F Stimberg, A Chakrabarti, CT Lu, H Hazimeh, O Stretcu, W Qiao, Y Liu, ...
Advances in Neural Information Processing Systems 36, 2024
42024
Scaling Laws for Downstream Task Performance of Large Language Models
B Isik, N Ponomareva, H Hazimeh, D Paparas, S Vassilvitskii, S Koyejo
arXiv preprint arXiv:2402.04177, 2024
42024
Comet: Learning cardinality constrained mixture of experts with trees and local search
S Ibrahim, W Chen, H Hazimeh, N Ponomareva, Z Zhao, R Mazumder
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
32023
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
S Ibrahim, H Hazimeh, R Mazumder
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
32022
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
X Meng, S Ibrahim, K Behdin, H Hazimeh, N Ponomareva, R Mazumder
arXiv preprint arXiv:2403.12983, 2024
2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Y Wang, H Hazimeh, N Ponomareva, A Kurakin, I Hammoud, R Arora
arXiv preprint arXiv:2402.11120, 2024
2024
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
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
2023
Sparse and differentiable mixture of experts neural networks
Z Zhao, M Sathiamoorthy, L Hong, Y Chen, EHH Chi, A Chowdhery, ...
US Patent App. 17/665,279, 2022
2022
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