BARC talk by Silvio Lattanzi
Wednesday, 20 November 2019, Silvio Lattanzi, research scientist at Google Zurich, Switzerland, will give a talk on "Residual Based Sampling for Online Low Rank Approximation".
Residual Based Sampling for Online Low Rank Approximation
We propose online algorithms for Column Subset Selection (CSS) and Principal Component Analysis (PCA), two methods that are widely employed for data analysis, summarization, and visualization. Given a data matrix A that is revealed one column at a time, the online CSS problems asks to keep a small set of columns, S, that best approximates the space spanned by the columns of A. As each column arrives, the algorithm must irrevocably decide whether to add it to S, or to ignore it. In the online PCA problem, the goal is to output a projection of each column to a low dimensional subspace. In other words, the algorithm must provide an embedding for each column as it arrives, which cannot be changed as new columns arrive.
While both of these problems have been studied in the online setting, only additive approximations were known prior to our work. The core of our approach is an adaptive sampling technique that gives a practical and efficient algorithm for both of these problems. We prove that by sampling columns using their “residual norm” (i.e. their norm orthogonal to directions sampled so far), we end up with a significantly better dependence between the number of columns sampled, and the desired error in the approximation. We further show how to combine our algorithm “in series” with prior algorithms. In particular, using the results of Boutsidis et al. and Frieze et al. that have additive guarantees, we show how to improve the bounds on the error of our algorithm.
Silvio received his bachelor (2005) and master (2007) degree both with highest honors from the Computer Science department of Sapienza University of Rome. He received his PhD(2011) in Computer Science from the Computer Science department of Sapienza University of Rome, his advisor was Alessandro Panconesi. Silvio was a research scientist at Google New York from January 2011 to March 2017. Silvio is a research scientist at Google Zurich since April 2017.