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John Lafferty

Identifiers

  • name variant John Lafferty 0.60 · backfill

Papers (33)

  1. Surfing: Iterative optimization over incrementally trained deep networks stat.ML · 2019 · author #3
  2. Fair quantile regression math.ST · 2019 · author #2
  3. TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts cs.IR · 2019 · author #2
  4. Prediction Rule Reshaping stat.ML · 2018 · author #4
  5. Distributed Nonparametric Regression under Communication Constraints stat.ML · 2018 · author #2
  6. Testing for Global Network Structure Using Small Subgraph Statistics stat.ME · 2017 · author #2
  7. Testing Network Structure Using Relations Between Small Subgraph Probabilities stat.ME · 2017 · author #2
  8. Selective Inference for Group-Sparse Linear Models stat.ME · 2016 · author #4
  9. Local Minimax Complexity of Stochastic Convex Optimization stat.ML · 2016 · author #4
  10. Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent stat.ML · 2016 · author #2
  11. Denoising Flows on Trees math.ST · 2016 · author #2
  12. Adaptive Risk Bounds in Unimodal Regression math.ST · 2015 · author #2
  13. A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements stat.ML · 2015 · author #2
  14. Quantized Nonparametric Estimation over Sobolev Ellipsoids math.ST · 2015 · author #2
  15. Faithful Variable Screening for High-Dimensional Convex Regression math.ST · 2014 · author #3
  16. Quantized Estimation of Gaussian Sequence Models in Euclidean Balls math.ST · 2014 · author #2
  17. Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk cs.LG · 2013 · author #1
  18. Nonparametric Reduced Rank Regression stat.ML · 2013 · author #4
  19. Expectation-Propogation for the Generative Aspect Model cs.LG · 2012 · author #2
  20. Variational Chernoff Bounds for Graphical Models cs.LG · 2012 · author #2
  21. High Dimensional Semiparametric Gaussian Copula Graphical Models stat.ML · 2012 · author #4
  22. Sparse Nonparametric Graphical Models stat.ML · 2012 · author #1
  23. Union Support Recovery in Multi-task Learning stat.ML · 2010 · author #2
  24. Graph-Valued Regression stat.ML · 2010 · author #3
  25. Forest Density Estimation stat.ML · 2010 · author #5
  26. The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs stat.ML · 2009 · author #2
  27. Rodeo: Sparse, greedy nonparametric regression math.ST · 2008 · author #1
  28. Time Varying Undirected Graphs stat.ML · 2008 · author #2
  29. Sparse Additive Models math.ST · 2007 · author #2
  30. Compressed Regression stat.ML · 2007 · author #2
  31. Rodeo: Sparse Nonparametric Regression in High Dimensions math.ST · 2005 · author #1
  32. A Robust Parsing Algorithm For Link Grammars cmp-lg · 1995 · author #2
  33. Towards History-based Grammars: Using Richer Models for Probabilistic Parsing cmp-lg · 1994 · author #3

Mentions

  • 1411.1805 #3 · backfill · confidence 0.70 John Lafferty
  • 1409.6833 #2 · backfill · confidence 0.70 John Lafferty
  • 1301.2286 #1 · backfill · confidence 0.70 John Lafferty
  • 1301.1919 #4 · backfill · confidence 0.70 John Lafferty
  • 1301.0588 #2 · backfill · confidence 0.70 John Lafferty
  • 1207.4172 #2 · backfill · confidence 0.70 John Lafferty
  • 1202.2169 #4 · backfill · confidence 0.70 John Lafferty
  • 1201.0794 #1 · backfill · confidence 0.70 John Lafferty
  • 1008.5211 #2 · backfill · confidence 0.70 John Lafferty
  • 1006.3972 #3 · backfill · confidence 0.70 John Lafferty
  • 1001.1557 #5 · backfill · confidence 0.70 John Lafferty
  • 0903.0649 #2 · backfill · confidence 0.70 John Lafferty
  • 0803.1709 #1 · backfill · confidence 0.70 John Lafferty
  • 0802.2758 #2 · backfill · confidence 0.70 John Lafferty
  • 0711.4555 #2 · backfill · confidence 0.70 John Lafferty
  • 0706.0534 #2 · backfill · confidence 0.70 John Lafferty

Frequent Coauthors