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Larry A. Wasserman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Brent Bryan, Jeff G. Schneider, Robert Nichol, Christopher Miller, Christopher Genovese, Larry Wasserman
    Active Learning For Identifying Function Threshold Boundaries. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  2. John D. Lafferty, Larry A. Wasserman
    Rodeo: Sparse Nonparametric Regression in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  3. John D. Lafferty, Larry A. Wasserman
    Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:293-300 [Conf]
  4. James M. Robins, Larry A. Wasserman
    Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:409-420 [Conf]
  5. Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry Wasserman
    Automated Learning and Discovery Stat-Of-The-Art and Research Topics in a Rapidly Growing Field. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1999, v:20, n:3, pp:78-82 [Journal]
  6. Shuheng Zhou, John Lafferty, Larry Wasserman
    Compressed Regression [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  7. Time Varying Undirected Graphs. [Citation Graph (, )][DBLP]

  8. Compressed Regression. [Citation Graph (, )][DBLP]

  9. SpAM: Sparse Additive Models. [Citation Graph (, )][DBLP]

  10. Statistical Analysis of Semi-Supervised Regression. [Citation Graph (, )][DBLP]

  11. Nonparametric regression and classification with joint sparsity constraints. [Citation Graph (, )][DBLP]

  12. Minimax Manifold Estimation [Citation Graph (, )][DBLP]

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