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05/31/2023
On the Linear Convergence of Policy Gradient under Hadamard Parameterization
The convergence of deterministic policy gradient under the Hadamard para...
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12/02/2021
Blind Super-resolution of Point Sources via Projected Gradient Descent
Blind super-resolution can be cast as a low rank matrix recovery problem...
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10/06/2021
Blind Super-resolution via Projected Gradient Descent
Blind super-resolution can be cast as low rank matrix recovery problem b...
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09/23/2021
Low Rank Vectorized Hankel Lift for Matrix Recovery via Fast Iterative Hard Thresholding
We propose a VHL-FIHT algorithm for matrix recovery in blind super-resol...
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08/12/2020
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources
We consider the problem of resolving r point sources from n samples at t...
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10/07/2019
Exact matrix completion based on low rank Hankel structure in the Fourier domain
Matrix completion is about recovering a matrix from its partial revealed...
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08/29/2019
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Reusing published datasets on the Web is of great interest to researcher...
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07/02/2019
