4 papers
Regression Trees Know Calculus
Nathan Wycoff
Regression trees have emerged as a preeminent tool for solving real-world regression problems due to their ability to deal with nonlinearities, interaction effects and sharp discon…
Formal Bayesian Transfer Learning via the Total Risk Prior
Nathan Wycoff, Ali Arab, Lisa O. Singh
In analyses with severe data-limitations, augmenting the target dataset with information from ancillary datasets in the application domain, called source datasets, can lead to sign…
Proximal Iteration for Nonlinear Adaptive Lasso
Nathan Wycoff, Lisa O. Singh, Ali Arab +1
Augmenting a smooth cost function with an penalty allows analysts to efficiently conduct estimation and variable selection simultaneously in sophisticated models and can b…
Voronoi Candidates for Bayesian Optimization
Nathan Wycoff, John W. Smith, Annie S. Booth +1
Bayesian optimization (BO) offers an elegant approach for efficiently optimizing black-box functions. However, acquisition criteria demand their own challenging inner-optimization,…