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Trung Vu
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 19
Top Topics
Constrained Least Squares
Matrix Completion
Hard Thresholding
Convergence Rate
Top Venues
CoRR
ICASSP
IEEE Trans. Signal Process.
SSP
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Publications
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Trung Vu
,
Raviv Raich
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis.
Optim. Lett.
17 (3) (2023)
Trung Vu
,
Raviv Raich
,
Xiao Fu
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares.
IEEE Trans. Signal Process.
71 (2023)
Shashank Rajput
,
Nikhil Mehta
,
Anima Singh
,
Raghunandan H. Keshavan
,
Trung Vu
,
Lukasz Heldt
,
Lichan Hong
,
Yi Tay
,
Vinh Q. Tran
,
Jonah Samost
,
Maciej Kula
,
Ed H. Chi
,
Maheswaran Sathiamoorthy
Recommender Systems with Generative Retrieval.
CoRR
(2023)
Anima Singh
,
Trung Vu
,
Raghunandan H. Keshavan
,
Nikhil Mehta
,
Xinyang Yi
,
Lichan Hong
,
Lukasz Heldt
,
Li Wei
,
Ed H. Chi
,
Maheswaran Sathiamoorthy
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.
CoRR
(2023)
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
Recommender Systems with Generative Retrieval.
NeurIPS
(2023)
Hanlu Yang
,
Trung Vu
,
Qunfang Long
,
Vince D. Calhoun
,
Tülay Adali
Identification of Homogeneous Subgroups from Resting-State fMRI Data.
Sensors
23 (6) (2023)
Trung Vu
,
Evgenia Chunikhina
,
Raviv Raich
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion.
IEEE Trans. Signal Process.
70 (2022)
Trung Vu
,
Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares.
IEEE Trans. Signal Process.
70 (2022)
Trung Vu
,
Raviv Raich
On Local Convergence of Iterative Hard Thresholding for Matrix Completion.
CoRR
(2021)
Trung Vu
,
Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares.
CoRR
(2021)
Trung Vu
,
Raviv Raich
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations.
CoRR
(2021)
Trung Vu
,
Raviv Raich
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent.
ICASSP
(2021)
Trung Vu
,
Evgenia Chunikhina
,
Raviv Raich
Perturbation expansions and error bounds for the truncated singular value decomposition.
CoRR
(2020)
Trung Vu
,
Phung Lai
,
Raviv Raich
,
Anh T. Pham
,
Xiaoli Z. Fern
,
U. K. Arvind Rao
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.
IEEE Trans. Medical Imaging
39 (10) (2020)
Trung Vu
,
Raviv Raich
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart.
ICASSP
(2019)
Trung Vu
,
Raviv Raich
,
Xiao Fu
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere.
MLSP
(2019)
Trung Vu
,
Raviv Raich
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion.
ICASSP
(2019)
Trung Vu
,
Raviv Raich
Adaptive Step Size Momentum Method For Deconvolution.
SSP
(2018)
Avinash Bukkittu
,
Baihan Lin
,
Trung Vu
,
Itsik Pe'er
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions.
CoRR
(2017)