Behdin, Kayhan

9 publications

CPAL 2025 A Unified Framework for Sparse Plus Low-Rank Matrix Decomposition for LLMs Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder

NeurIPS 2025 Differentially Private High-Dimensional Variable Selection via Integer Programming Petros Prastakos, Kayhan Behdin, Rahul Mazumder

NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder

ICLRW 2024 Differentially Private Best Subset Selection via Integer Programming Kayhan Behdin, Peter Prastakos, Rahul Mazumder

AISTATS 2024 End-to-End Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder

ICML 2024 OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder

JMLR 2024 Sparse NMF with Archetypal Regularization: Computational and Robustness Properties Kayhan Behdin, Rahul Mazumder

NeurIPS 2023 GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder

NeurIPSW 2022 Improved Deep Neural Network Generalization Using M-Sharpness-Aware Minimization Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, Sathiya Keerthi, Rahul Mazumder