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Hussein Hazimeh
Hussein Hazimeh
Google Research - Massachusetts Institute of Technology
Dirección de correo verificada de mit.edu
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Año
Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms
H Hazimeh, R Mazumder
Operations Research 68 (5), 1517-1537, 2020
1222020
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
452022
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
362020
Learning sparse classifiers: Continuous and mixed integer optimization perspectives
A Dedieu, H Hazimeh, R Mazumder
The Journal of Machine Learning Research 22 (1), 6008-6054, 2021
302021
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
282015
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
232021
Learning hierarchical interactions at scale: A convex optimization approach
H Hazimeh, R Mazumder
International Conference on Artificial Intelligence and Statistics, 1833-1843, 2020
132020
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
H Hazimeh, R Mazumder, P Radchenko
The Annals of Statistics (to appear), 2021
112021
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
H Hazimeh, R Mazumder, T Nonet
arXiv preprint arXiv:2202.04820, 2022
4*2022
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
S Ibrahim, H Hazimeh, R Mazumder
KDD 2022, 2022
12022
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
H Hazimeh, N Ponomareva
arXiv preprint arXiv:2302.00089, 2023
2023
Benchmarking Robustness to Adversarial Image Obfuscations
F Stimberg, A Chakrabarti, CT Lu, H Hazimeh, O Stretcu, W Qiao, Y Liu, ...
arXiv preprint arXiv:2301.12993, 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
Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights
H Hazimeh
Massachusetts Institute of Technology, 2021
2021
Supplementary to “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, ...
Supplementary to “Learning Hierarchical Interactions at Scale: A Convex Optimization Approach”
H Hazimeh, R Mazumder
International Conference on Artificial Intelligence and Statistics, 1833-1843, 0
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Artículos 1–16