Active matrix completion

Shayok Chakraborty Jiayu Zhou Vineeth N Balasubramanian Sethuraman Panchanathan Ian Davidson Jieping Ye
Abstract: Recovering a matrix from a sampling of its entries is a problem of rapidly growing interest and has been studied under the name of matrix completion. It occurs in many areas of engineering and applied science. In most machine learning and data mining applications, it is possible to leverage the expertise of human oracles to improve the performance of the system. It is therefore natural to extend this idea of" human-in-the-loop" to the matrix completion problem. However, considering the enormity of data in the modern era, ...