Clustered subset selection and its applications on it service metrics. - Christos Boutsidis; Jimeng Sun 001; Nikos Anerousis (CIKM, 2008)

Unsupervised feature selection for principal components analysis. - Christos Boutsidis; Michael W. Mahoney; Petros Drineas (KDD, 2008)

Random Projections for the Nonnegative Least-Squares Problem - Christos Boutsidis; Petros Drineas (CoRR, 2008)

SVD based initialization: A head start for nonnegative matrix factorization. - Christos Boutsidis; Efstratios Gallopoulos (Pattern Recognit., 2008)

Unsupervised Feature Selection for the $k$-means Clustering Problem. - Christos Boutsidis; Michael W. Mahoney; Petros Drineas (NIPS, 2009)

An improved approximation algorithm for the column subset selection problem. - Christos Boutsidis; Michael W. Mahoney; Petros Drineas (SODA, 2009)

Random Projections for $k$-means Clustering. - Christos Boutsidis; Anastasios Zouzias; Petros Drineas (NIPS, 2010)

Sparse Features for PCA-Like Linear Regression. - Christos Boutsidis; Petros Drineas; Malik Magdon-Ismail (NIPS, 2011)

Topics in Matrix Sampling Algorithms - Christos Boutsidis (CoRR, 2011)

Stochastic Dimensionality Reduction for K-means Clustering - Christos Boutsidis; Anastasios Zouzias; Michael W. Mahoney; Petros Drineas (CoRR, 2011)

Topics in matrix sampling algorithms. - Christos Boutsidis (2011)

Rich Coresets For Constrained Linear Regression - Christos Boutsidis; Petros Drineas; Malik Magdon-Ismail (CoRR, 2012)

Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem - B. Cung; T. Jin; Juan Ramirez; A. Thompson; Christos Boutsidis; Deanna Needell (CoRR, 2012)

Random Projections for Support Vector Machines. - Saurabh Paul; Christos Boutsidis; Malik Magdon-Ismail; Petros Drineas (AISTATS, 2013)

Equity factor analysis via column subset selection. - Christos Boutsidis; Dmitry Malioutov (GlobalSIP, 2013)

Approximate Spectral Clustering via Randomized Sketching. - Alex Gittens; Prabhanjan Kambadur; Christos Boutsidis (CoRR, 2013)

Faster Subset Selection for Matrices and Applications. - Haim Avron; Christos Boutsidis (SIAM J. Matrix Anal. Appl., 2013)

Improved Matrix Algorithms via the Subsampled Randomized Hadamard Transform. - Christos Boutsidis; Alex Gittens (SIAM J. Matrix Anal. Appl., 2013)

Near-Optimal Coresets for Least-Squares Regression. - Christos Boutsidis; Petros Drineas; Malik Magdon-Ismail (IEEE Trans. Inf. Theory, 2013)

Deterministic Feature Selection for $k$-Means Clustering. - Christos Boutsidis; Malik Magdon-Ismail (IEEE Trans. Inf. Theory, 2013)

Faster SVD-truncated regularized least-squares. - Christos Boutsidis; Malik Magdon-Ismail (ISIT, 2014)

Provable deterministic leverage score sampling. - Dimitris S. Papailiopoulos; Anastasios Kyrillidis; Christos Boutsidis (KDD, 2014)

Faster SVD-Truncated Least-Squares Regression. - Christos Boutsidis; Malik Magdon-Ismail (CoRR, 2014)

A note on sparse least-squares regression. - Christos Boutsidis; Malik Magdon-Ismail (Inf. Process. Lett., 2014)

Near-Optimal Column-Based Matrix Reconstruction. - Christos Boutsidis; Petros Drineas; Malik Magdon-Ismail (SIAM J. Comput., 2014)

Efficient Dimensionality Reduction for Canonical Correlation Analysis. - Haim Avron; Christos Boutsidis; Sivan Toledo; Anastasios Zouzias (SIAM J. Sci. Comput., 2014)

Random Projections for Linear Support Vector Machines. - Saurabh Paul; Christos Boutsidis; Malik Magdon-Ismail; Petros Drineas (ACM Trans. Knowl. Discov. Data, 2014)

Spectral Clustering via the Power Method - Provably. - Christos Boutsidis; Prabhanjan Kambadur; Alex Gittens (ICML, 2015)

Online Principal Components Analysis. - Christos Boutsidis; Dan Garber; Zohar Shay Karnin; Edo Liberty (SODA, 2015)

A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix. - Christos Boutsidis; Petros Drineas; Prabhanjan Kambadur; Anastasios Zouzias (CoRR, 2015)

Greedy Minimization of Weakly Supermodular Set Functions. - Christos Boutsidis; Edo Liberty; Maxim Sviridenko (CoRR, 2015)

Communication-optimal Distributed Principal Component Analysis in the Column-partition Model. - Christos Boutsidis; David P. Woodruff (CoRR, 2015)

Optimal Sparse Linear Auto-Encoders and Sparse PCA. - Malik Magdon-Ismail; Christos Boutsidis (CoRR, 2015)

Randomized Dimensionality Reduction for k-Means Clustering. - Christos Boutsidis; Anastasios Zouzias; Michael W. Mahoney; Petros Drineas (IEEE Trans. Inf. Theory, 2015)

Optimal Sparse Linear Encoders and Sparse PCA. - Malik Magdon-Ismail; Christos Boutsidis (NIPS, 2016)

Optimal principal component analysis in distributed and streaming models. - Christos Boutsidis; David P. Woodruff; Peilin Zhong (STOC, 2016)

Optimal CUR Matrix Decompositions. - Christos Boutsidis; David P. Woodruff (SIAM J. Comput., 2017)