Jacob Bien

I am a fifth year Ph.D. student in statistics at Stanford University. I enjoy working on problems in applied statistics and statistical machine learning, especially developing methods that might be of direct use to scientists (or others with large datasets). My advisor is Robert Tibshirani.

Research

Statistical Methodology

  • Jacob Bien and Robert Tibshirani (2011) Hierarchical Clustering with Prototypes via Minimax Linkage. Journal of the American Statistical Association. 106(495). 1075-1084 [pdf] [software]

  • Jacob Bien and Robert Tibshirani (2011) Sparse Estimation of a Covariance Matrix. Biometrika. 98(4). 807-820 [pdf] [software]

  • Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, and Ryan Tibshirani (2011) Strong Rules for Discarding Predictors in Lasso-type Problems. Accepted for publication in Journal of the Royal Statistical Society, Series B. [pdf]

  • Jacob Bien and Robert Tibshirani (2011) Prototype Selection for Interpretable Classification. Annals of Applied Statistics. 5(4). 2403-2424 [pdf]

  • Jacob Bien, Ya Xu, and Michael Mahoney (2010) CUR from a Sparse Optimization Viewpoint. Advances in Neural Information Processing Systems 23. [pdf]

Other

  • Neema Moraveji, Daniel Russell, Jacob Bien, David Mease (2011) Measuring Improvement in User Search Performance Resulting From Optimal Search Tips. Proceedings of SIGIR 2011. [abstract]

Miscellaneous

  • Call CVX from R! Click here for an R package I've written to do this.

  • I enjoy juggling with the Stanford Court Jugglers and Down with Gravity. My favorite type of juggling is club passing. I am to the far left in this video and this video and am in the front right in this video (if you look closely, you'll notice that every pass I throw is to the person behind me).

Contact