Trung Vu

According to our database, Trung Vu authored at least 20 papers between 2017 and 2023.

Collaborative distances:

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

2023

A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis.

Trung Vu, Raviv Raich

Optim. Lett., April, 2023

Identification of Homogeneous Subgroups from Resting-State fMRI Data.

Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali

Sensors, March, 2023

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares.

Trung Vu, Raviv Raich, Xiao Fu

IEEE Trans. Signal Process., 2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.

Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy

CoRR, 2023

Recommender Systems with Generative Retrieval.

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy

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

ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION.

Trung Vu, Raviv Raich

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation.

Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis.

Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares.

Trung Vu, Raviv Raich

IEEE Trans. Signal Process., 2022

On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion.

Trung Vu, Evgenia Chunikhina, Raviv Raich

IEEE Trans. Signal Process., 2022

2021

On Local Convergence of Iterative Hard Thresholding for Matrix Completion.

Trung Vu, Raviv Raich

CoRR, 2021

A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations.

Trung Vu, Raviv Raich

CoRR, 2021

Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent.

Trung Vu, Raviv Raich

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.

Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao

IEEE Trans. Medical Imaging, 2020

Perturbation expansions and error bounds for the truncated singular value decomposition.

Trung Vu, Evgenia Chunikhina, Raviv Raich

CoRR, 2020

2019

ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere.

Trung Vu, Raviv Raich, Xiao Fu

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion.

Trung Vu, Raviv Raich

Proceedings of the IEEE International Conference on Acoustics, 2019

Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart.

Trung Vu, Raviv Raich

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Adaptive Step Size Momentum Method For Deconvolution.

Trung Vu, Raviv Raich

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions.

Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er

CoRR, 2017