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Matrix completion is a fundamental machine learning problem with wide applications in collaborative filtering and recommender systems.
Tractable Non-Convexity:Matrix Completion,Saddlepoints,and Gradient Descent
【摘 要】
：
Matrix completion is a fundamental machine learning problem with wide applications in collaborative filtering and recommender systems.
【机 构】
：
University of Southern California
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
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