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All publications by Michael W. Mahoney
authors venues years



Fast Randomized Kernel Ridge Regression with Statistical Guarantees
Ahmed Alaoui and Michael W. Mahoney
Advances in Neural Information Processing Systems 28, 2015


Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen and Michael W. Mahoney
Advances in Neural Information Processing Systems 25, 2012


Fast approximation of matrix coherence and statistical leverage
Petros Drineas, Malik Magdon-ismail, David Woodruff and Michael W. Mahoney
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry and Michael W. Mahoney
Advances in Neural Information Processing Systems 24, 2011


Implementing regularization implicitly via approximate eigenvector computation
Lorenzo Orecchia and Michael W. Mahoney
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


CUR from a Sparse Optimization Viewpoint
Jacob Bien, Ya Xu and Michael W. Mahoney
Advances in Neural Information Processing Systems 23, 2010


Unsupervised Feature Selection for the $k$-means Clustering Problem
Christos Boutsidis, Petros Drineas and Michael W. Mahoney
Advances in Neural Information Processing Systems 22, 2009


On the Nystr{\"o}m Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas and Michael W. Mahoney
Journal of Machine Learning Research, 2005