Online Program Home
  My Program
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

529 Wed, 8/2/2017, 10:30 AM - 11:15 AM CC-Halls A&B
SPEED: Machine Learning — Contributed Poster Presentations
Section on Statistical Learning and Data Science
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214518
1: Grapheme, Phoneme, Morpheme: Features for Text Classification Taylor Arnold, University of Richmond
2: Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers Boxiang Wang ; Hui Zou, University of Minnesota
3: Regression-Enhanced Random Forests Haozhe Zhang, Iowa State University ; Dan Nettleton, Iowa State University ; Zhengyuan Zhu, Iowa State University
5: Whiteout: Gaussian Adaptive Regularization Noise in Deep Neural Networks Yinan Li, University of Notre Dame ; Ruoyi Xu, University of Science and Technology of China ; Fang Liu, University of Notre Dame
6: Support Vector Machine with Confidence Haomiao Meng, Binghamton University ; Wenbo Wang, Binghamton University ; Xingye Qiao, Binghamton University
7: Bernstein and Hoeffding Type Inequalities for Regenerative Markov Chains Gabriela Cio?ek, Telecom ParisTech ; Patrice Bertail, Université Paris Ouest Nanterre
9: High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables Nima Dolatnia ; Alan Fern, Oregon State University ; Sarah Emerson, Oregon State University
10: A Robust Residual-Based Approach for Random Forest Regression Andrew Sage, Iowa State University ; Ulrike Genschel, Iowa State University ; Dan Nettleton, Iowa State University
11: Estimation and Model Selection by Data-Driven Weighted Likelihoods Sam-Erik Walker, Dept. of Math., Univ. of Oslo ; Nils Lid Hjort, University of Oslo
12: Adaptive Pruning for Random Forests: It Helps Thomas Loughin, Simon Fraser University ; Andrew Henrey, Simon Fraser University
13: Tree-Based Models for Longitudinal Data Brittany Green, University of Cincinnati ; Peng Wang, University of Cincinnati
14: Group Fused Multinomial Regression Brad Price, West Virginia University ; Adam Rothman, University of Minnesota ; Charles Geyer, University of Minnesota
15: Statistical Significance of Clustering Purvasha Chakravarti, Carnegie Mellon University ; Larry Wasserman, Carnegie Mellon ; Sivaraman Balakrishnan, Department of Statistics, CMU
16: Joint Sentiment Topic Modeling of Text Data Sahba Akhavan Niaki, University of Florida ; George Michailidis, University of Florida
17: Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews Corrado Lanera, University of Padova ; Ileana Baldi, University of Padova ; Clara Minto, University of Padova ; Dario Gregori, University of Padova ; Paola Berchialla, University of Torino
18: The Geometry of Nonlinear Embeddings in Discriminant Analysis with Gaussian Kernels Jiae Kim, Ohio State University ; Yoonkyung Lee, The Ohio State University
Copyright © American Statistical Association