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cs.LG2022
Splitting numerical integration for matrix completion
Qianqian Song
Low rank matrix approximation is a popular topic in machine learning. In this paper, we propose a new algorithm for this topic by minimizing the least-squares estimation over the R…
cs.LG2021
Approximate Inference via Clustering
Qianqian Song
In recent years, large-scale Bayesian learning draws a great deal of attention. However, in big-data era, the amount of data we face is growing much faster than our ability to deal…