Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling

We study the problem of recovering an incomplete $m\times n$ matrix of rank $r$ with columns arriving online over time. This is known as the problem of life-long matrix completion, and is widely applied to recommendation system, computer vision, system identification, etc... (read more)

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