Wyner, Abraham J.

1. Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
   2015/04/28 by Abraham J. Wyner, Matthew Olson, Wyner, Abraham J. +5 · 3 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
2. Making Sense of Random Forest Probabilities: a Kernel Perspective
   2018/12/14 by Matthew Olson, Abraham J. Wyner, Olson, Matthew A. +1 · 2 citations
   Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Face and Expression Recognition
3. Analytics, have some humility: a statistical view of fourth-down decision making
   2023/11/06 by Brill, Ryan S., Yurko, Ronald, Wyner, Abraham J. · 2 citations
   #Applications (stat.AP) #FOS: Computer and information sciences
4. Moving from Machine Learning to Statistics: the case of Expected Points in American football
   2024/09/07 by Ryan S. Brill, Brill, Ryan S., Ryan Yee +5 · 1 citation
   Computer Science · Economics, Econometrics and Finance · Medicine · #Applications (stat.AP) #FOS: Computer and information sciences #Sports Analytics and Performance #Sports Performance and Training #Time Series Analysis and Forecasting
5. Separating Intent from Execution: A Probabilistic Approach to Pitch Location Accuracy
   2025/08/26 by Ludwig, Matt, Brill, Ryan S., Wyner, Abraham J. · 1 citation
   #Applications (stat.AP) #FOS: Computer and information sciences