Kayhan Behdin

According to our database, Kayhan Behdin authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sparse NMF with Archetypal Regularization: Computational and Robustness Properties.

Kayhan Behdin, Rahul Mazumder

J. Mach. Learn. Res., 2024

ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models.

Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

End-to-end Feature Selection Approach for Learning Skinny Trees.

Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm.

Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder

CoRR, 2023

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives.

Kayhan Behdin, Wenyu Chen, Rahul Mazumder

CoRR, 2023

Sharpness-Aware Minimization: An Implicit Regularization Perspective.

Kayhan Behdin, Rahul Mazumder

CoRR, 2023

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.

Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder

CoRR, 2023

GRAND-SLAMIN' Interpretable Additive Modeling with Structural Constraints.

Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.

Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder

CoRR, 2022

2021

Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification.

Kayhan Behdin, Rahul Mazumder

CoRR, 2021

2020

Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm.

Masoumeh Azghani, Ashkan Esmaeili, Kayhan Behdin, Farokh Marvasti

IEEE Trans. Circuits Syst. Video Technol., 2020

Transductive multi-label learning from missing data using smoothed rank function.

Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti

Pattern Anal. Appl., 2020

2018

Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method.

Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti

CoRR, 2018

Transduction with Matrix Completion Using Smoothed Rank Function.

Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti

CoRR, 2018

2017

OBTAIN: Real-Time Beat Tracking in Audio Signals.

Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farrokh Marvasti

CoRR, 2017