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05/26/2023
Fast and Minimax Optimal Estimation of Low-Rank Matrices via Non-Convex Gradient Descent
We study the problem of estimating a low-rank matrix from noisy measurem...
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11/30/2022
Overcoming the Convex Relaxation Barrier for Neural Network Verification via Nonconvex Low-Rank Semidefinite Relaxations
To rigorously certify the robustness of neural networks to adversarial p...
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08/24/2022
