NIPS Proceedingsβ

Alexander G. Gray

11 Papers

  • Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL (2012)
  • Linear-time Algorithms for Pairwise Statistical Problems (2009)
  • Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions (2009)
  • Submanifold density estimation (2009)
  • Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method (2008)
  • QUIC-SVD: Fast SVD Using Cosine Trees (2008)
  • Ultrafast Monte Carlo for Statistical Summations (2007)
  • Dual-Tree Fast Gauss Transforms (2005)
  • An Investigation of Practical Approximate Nearest Neighbor Algorithms (2004)
  • Automatic Derivation of Statistical Algorithms: The EM Family and Beyond (2002)
  • `N-Body' Problems in Statistical Learning (2000)