NIPS Proceedingsβ

Michael W. Mahoney

7 Papers

  • Feature-distributed sparse regression: a screen-and-clean approach (2016)
  • Sub-sampled Newton Methods with Non-uniform Sampling (2016)
  • Fast Randomized Kernel Ridge Regression with Statistical Guarantees (2015)
  • Semi-supervised Eigenvectors for Locally-biased Learning (2012)
  • Regularized Laplacian Estimation and Fast Eigenvector Approximation (2011)
  • CUR from a Sparse Optimization Viewpoint (2010)
  • Unsupervised Feature Selection for the $k$-means Clustering Problem (2009)