Row/column sampling techniques were initially introduced to compute low-rank matrix approximation faster than the computation of SVD. In this talk, I will give a quick overview of squared-length sampling, adaptive sampling, volume sampling, relevance-score sampling etc., survey their connections to other topics such as determinantal point processes, rounding Lasserre SDP solutions, graph sparsification, convex geometry, and discuss interesting open problems in these.

Video Recording