Kayhan Behdin
Kayhan Behdin
Geverifieerd e-mailadres voor mit.edu - Homepage
Geciteerd door
Geciteerd door
Transductive multi-label learning from missing data using smoothed rank function
A Esmaeili, K Behdin, MA Fakharian, F Marvasti
Pattern Analysis and Applications 23 (3), 1225-1233, 2020
OBTAIN: Real-Time Beat Tracking in Audio Signals
A Mottaghi, K Behdin, A Esmaeili, M Heydari, F Marvasti
ICOSP 2017, The workshop of ICCSIT 2017, Florence, Italy, 2017
Missing low-rank and sparse decomposition based on smoothed nuclear norm
M Azghani, A Esmaeili, K Behdin, F Marvasti
IEEE Transactions on Circuits and Systems for Video Technology 30 (6), 1550-1558, 2019
Improved deep neural network generalization using m-sharpness-aware minimization
K Behdin, Q Song, A Gupta, D Durfee, A Acharya, S Keerthi, R Mazumder
arXiv preprint arXiv:2212.04343, 2022
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees
K Behdin, R Mazumder
arXiv preprint arXiv:2302.11836, 2023
Sparse PCA: A new scalable estimator based on integer programming
K Behdin, R Mazumder
arXiv preprint arXiv:2109.11142, 2021
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
K Behdin, R Mazumder
Journal of Machine Learning Research 25, 1-62, 2024
Recovering quantized data with missing information using bilinear factorization and augmented Lagrangian method
A Esmaeili, K Behdin, F Marvasti
arXiv preprint arXiv:1810.03222, 2018
QuantEase: Optimization-based Quantization for Language Models
K Behdin, A Acharya, A Gupta, Q Song, S Zhu, S Keerthi, R Mazumder
arXiv e-prints, arXiv: 2309.01885, 2023
GRAND-SLAMIN’Interpretable Additive Modeling with Structural Constraints
S Ibrahim, G Afriat, K Behdin, R Mazumder
Advances in Neural Information Processing Systems 36, 2024
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
K Behdin, W Chen, R Mazumder
arXiv preprint arXiv:2307.09366, 2023
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
X Meng, S Ibrahim, K Behdin, H Hazimeh, N Ponomareva, R Mazumder
arXiv preprint arXiv:2403.12983, 2024
End-to-end Feature Selection Approach for Learning Skinny Trees
S Ibrahim, K Behdin, R Mazumder
arXiv preprint arXiv:2310.18542, 2023
Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach
G Loewinger, K Behdin, KT Kishida, G Parmigiani, R Mazumder
arXiv preprint arXiv:2212.08697, 2022
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