Kayhan Behdin
6 papers · 2023–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Mega-Team · Squad
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Core Methods
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Optimization & Theory · Deep Learning
(2)
Architectures
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Keywords
model compression
(2)
structured pruning
(2)
large language model
(2)
gradient-based optimization
(1)
knowledge distillation
(1)
efficient computing
(1)
continuous optimization
(1)
conjugate gradient
(1)
sparse matrix factorization
(1)
tree ensemble
(1)
sparse model
(1)
recommendation system
(1)
gradient boosted tree
(1)
vision model
(1)
one-shot pruning
(1)
operator splitting
(1)
conjugate gradient method
(1)
sparse language model
(1)
perplexity reduction
(1)
recommender system
(1)
Papers
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
EMNLP 2025
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
NeurIPS 2024
End-to-end Feature Selection Approach for Learning Skinny Trees
AISTATS 2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
ICML 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
JMLR 2024
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
NeurIPS 2023