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Kayhan Behdin
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2020 – today
- 2024
- [j3]Kayhan Behdin, Rahul Mazumder:
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties. J. Mach. Learn. Res. 25: 36:1-36:62 (2024) - [c3]Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder:
End-to-end Feature Selection Approach for Learning Skinny Trees. AISTATS 2024: 2863-2871 - [c2]Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder:
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. ICML 2024 - [i12]Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder:
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. CoRR abs/2403.12983 (2024) - [i11]Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder:
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models. CoRR abs/2406.07831 (2024) - 2023
- [c1]Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder:
GRAND-SLAMIN' Interpretable Additive Modeling with Structural Constraints. NeurIPS 2023 - [i10]Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder:
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. CoRR abs/2302.09693 (2023) - [i9]Kayhan Behdin, Rahul Mazumder:
Sharpness-Aware Minimization: An Implicit Regularization Perspective. CoRR abs/2302.11836 (2023) - [i8]Kayhan Behdin, Wenyu Chen, Rahul Mazumder:
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives. CoRR abs/2307.09366 (2023) - [i7]Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder:
QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm. CoRR abs/2309.01885 (2023) - [i6]Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder:
End-to-end Feature Selection Approach for Learning Skinny Trees. CoRR abs/2310.18542 (2023) - 2022
- [i5]Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder:
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. CoRR abs/2212.04343 (2022) - 2021
- [i4]Kayhan Behdin, Rahul Mazumder:
Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification. CoRR abs/2104.03527 (2021) - 2020
- [j2]Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti:
Transductive multi-label learning from missing data using smoothed rank function. Pattern Anal. Appl. 23(3): 1225-1233 (2020) - [j1]Masoumeh Azghani, Ashkan Esmaeili, Kayhan Behdin, Farokh Marvasti:
Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1550-1558 (2020)
2010 – 2019
- 2018
- [i3]Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti:
Transduction with Matrix Completion Using Smoothed Rank Function. CoRR abs/1805.07561 (2018) - [i2]Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti:
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method. CoRR abs/1810.03222 (2018) - 2017
- [i1]Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farrokh Marvasti:
OBTAIN: Real-Time Beat Tracking in Audio Signals. CoRR abs/1704.02216 (2017)
Coauthor Index
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last updated on 2024-09-18 01:13 CEST by the dblp team
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