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Trung Vu

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Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis

Nov 08, 2023
Trung Vu, Francisco Laport, Hanlu Yang, Vince D. Calhoun, Tulay Adali

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

Jun 13, 2023
Anima Singh, Trung Vu, Raghunandan Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed Chi, Maheswaran Sathiamoorthy

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Recommender Systems with Generative Retrieval

May 08, 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

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

Jul 01, 2022
Trung Vu, Raviv Raich, Xiao Fu

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

Dec 22, 2021
Trung Vu, Raviv Raich

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

Feb 06, 2021
Trung Vu, Raviv Raich

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

Nov 11, 2017
Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er

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