NIPS Proceedingsβ

David B. Dunson

7 Papers

  • DECOrrelated feature space partitioning for distributed sparse regression (2016)
  • On the consistency theory of high dimensional variable screening (2015)
  • Parallelizing MCMC with Random Partition Trees (2015)
  • Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process (2015)
  • Median Selection Subset Aggregation for Parallel Inference (2014)
  • Locally Adaptive Bayesian Multivariate Time Series (2013)
  • Multiscale Dictionary Learning for Estimating Conditional Distributions (2013)