Hussein Hazimeh
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 💎 Century Club · Bronze
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Research topics
Machine Learning
(10)
Deep Learning
(5)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Optimization
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
feature selection
(2)
l0 regularization
(2)
coordinate descent
(2)
combinatorial optimization
(2)
model compression
(2)
variable selection
(2)
multi-task learning
(1)
ensemble learning
(1)
adversarial learning
(1)
domain adaptation
(1)
transfer learning
(1)
convex optimization
(1)
sparse learning
(1)
benchmark evaluation
(1)
data augmentation
(1)
machine translation
(1)
model robustness
(1)
content moderation
(1)
model architecture
(1)
adversarial robustness
(1)
Papers
Scaling Laws for Downstream Task Performance in Machine Translation
ICLR 2025
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
ICML 2024
Benchmarking Robustness to Adversarial Image Obfuscations
NeurIPS 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
ICML 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
JMLR 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
AISTATS 2023
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NeurIPS 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives
JMLR 2021
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
AISTATS 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation
ICML 2020