Tag: session info

Session title: Statistical Learning and Genomics
Organizer: Ji Zhu (Umich)
Chair: Bing Li (Penn State)
Time: June 5^th, 1:15pm – 2:45pm
Location: VEC 1403

Speech 1: Proteomics and Genomics Integration for Translational Cancer Research
Speaker:  Umut …

Session title: Functional Data Analysis in Action
Organizer: Kehui Chen (U of Pitt)
Chair: Kehui Chen (U of Pitt)
Time: June 5^th, 1:15pm – 2:45pm
Location: VEC 1402

Speech 1: Brain Functional Connectivity — The FDA …

Session title: New Statistical Machine Learning Tools
Organizer: Liu, Yufeng (UNC)
Chair: Liu, Yufeng (UNC)
Time: June 5^th, 1:15pm – 2:45pm
Location: VEC 201

Speech 1: Inference, Computation, and Visualization for Convex Clustering and Biclustering
Speaker: …

Session title: New development for analyzing biomedical complex data
Organizer: Zhezhen Jin (Columbia)
Chair: Peng Wang (University of Cincinnati)
Time: June 5^th, 1:15pm – 2:45pm
Location: VEC 1302

Speech 1: New methods for estimating follow-up rates …

Session title: Novel inference approaches for complex data setting
Organizer: Regina Liu (Rutgers)
Chair: Junhui Wang (City U. of Hong Kong)
Time: June 5^th, 1:15pm – 2:45pm
Location: VEC 1202/1203

Speech 2: Stein Discrepancy Methods for …

Session title: Decision making, operations research and statistical learning
Organizer: Cynthia Rudin (Duke)
Chair: Cynthia Rudin (Duke)
Time: June 5^th, 8:30am – 10:00am
Location: VEC 1403

Speech 1: Online Learning of Buyer Behavior under Realistic Pricing …

Session title: Causal Inference and Machine Learning
Organizer: Ryan Tibshirani (CMU)
Chair: Vincent Joseph Dorie (Columbia)      
Time: June 5^th, 8:30am – 10:00am
Location: VEC 1402

Speech 1: Nonparametric causal effects based on incremental propensity score interventions…

Session title: Advances in high-dimensional statistics
Organizer: Genevera Allen (Rice)
Chair: Genevera Allen (Rice)
Time: June 5^th, 8:30am – 10:00am
Location: VEC 1303

Speech 1: Adaptive local estimation for high dimensional linear models
Speaker: Yufeng Liu …

Session title: OODA: Manifold Data Integration
Organizer: Marron, James Stephen (UNC)
Chair: Anna Smith (Columbia)
Time: June 5^th, 8:30am – 10:00am
Location: VEC 1302

Speech 1: Random Domain Decomposition for Kriging Riemannian Data
Speaker: Piercesare Secchi …

Session title: Big Data of different forms and different challenges
Organizer: Regina Liu (Rutgers)
Chair: Xuan Bi(Yale)
Time: June 5^th, 8:30am – 10:00am
Location: VEC 1202 /1203

Speech 1: Individualized Multilayer Learning with An Application in …