Bleich, Justin

1. Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation
   2013/09/25 by Goldstein, Alex, Kapelner, Adam, Bleich, Justin +1 · 29 citations
   #Applications (stat.AP) #FOS: Computer and information sciences
2. bartMachine: Machine Learning with Bayesian Additive Regression Trees
   2013/12/08 by Kapelner, Adam, Bleich, Justin · 6 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
   2015/04/28 by Abraham J. Wyner, Wyner, Abraham J., Matthew Olson +5 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Neural Networks and Applications
4. Prediction with Missing Data via Bayesian Additive Regression Trees
   2013/06/03 by Kapelner, Adam, Bleich, Justin · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Bayesian Additive Regression Trees With Parametric Models of Heteroskedasticity
   2014/02/21 by Justin Bleich, Adam Kapelner, Bleich, Justin +1 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference