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Keyword Search Criteria: Boosting returned 15 record(s)
Sunday, 07/28/2019
Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software
Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service


A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys
Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat


A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys
Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
2:10 PM

Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software
Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service
3:30 PM

Variational Inference You Can Trust: a New Approach to Boosting
Trevor Campbell, University of British Columbia
4:05 PM

Monday, 07/29/2019
Generalised Boosted Forests; Variance Estimation and Inference
Indrayudh Ghosal, Cornell University


Tuesday, 07/30/2019
Predicting Sub-Cellular Location of Plant Protein Using Supervised Machine Learning
David Arthur; Benjamin Annan, Youngstown State University; Eric Quayson, Youngstown State University; Jack Min, Youngstown State University; Guang-Hwa Andy Chang, Youngstown State University


Statistical and Computational Guarantees for Variational Boosting
Biraj Guha, Texas A & M University; Debdeep Pati, Texas A&M University; Anirban Bhattacharya, TAMU
8:35 AM

High-Dimensional Controlled Variable Selection for Ordinal Outcomes
Han Fu, The Ohio State University; Kellie Archer, Ohio State University
9:35 AM

Predicting Sub-Cellular Location of Plant Protein Using Supervised Machine Learning
David Arthur; Benjamin Annan, Youngstown State University; Eric Quayson, Youngstown State University; Jack Min, Youngstown State University; Guang-Hwa Andy Chang, Youngstown State University
9:45 AM

Wednesday, 07/31/2019
Gradient Boosting Trees for Spatial Data Prediction
Bo Li, University of Illinois at Urbana-Champaign; Peng Wang, University of Cincinnati; Yunzhang Zhu, The Ohio State University
3:05 PM

Thursday, 08/01/2019
Customer Classification Using XGBoost: Accurate and Scalable Prediction of Customer Cluster Membership
Joseph Retzer, ACT-MRSolutions; Ewa Nowakowska, ey
9:20 AM

Where Do I Begin? Tuning Support Vector Machines and Boosted Trees
Jill Lundell, Utah State University
11:20 AM

Statistical Analysis and Machine Learning Using Data from Continuous Glucose Monitoring in Clinical Trials
Chen Gao, MedImmune; Yi-Ting Chang, MedImmune; Jay Zhang, MedImmune
11:50 AM

Integrating Pathway Information with Boosting to Construct a Sufficient Gene Set for Phenotype Classification
Nusrat Jahan, James Madison University; Huining Kang, University of New Mexico; Li Luo, University of New Mexico
12:05 PM