Kayhan Behdin
6 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (20)
π₯
Mega-Team
(20)
Conferences
NIPS (2)
AISTATS (1)
EMNLP (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
model compression
(2)
model quantization
(1)
feature selection
(1)
gradient-based optimization
(1)
knowledge distillation
(1)
efficient computing
(1)
continuous optimization
(1)
nonnegative matrix factorization
(1)
conjugate gradient
(1)
sparse matrix factorization
(1)
tree ensemble
(1)
sparse model
(1)
recommendation system
(1)
gradient boosted tree
(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
NIPS 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-SLAMINβ Interpretable Additive Modeling with Structural Constraints
NIPS 2023