Advances in Regularization Methods

Mon, Aug 5, 8:30 AM - 10:20 AM

Fang WangChair

Section on Statistical Learning and Data Science

7 Presentations

A Penalized Kernel Neural Network For Complex Genetic Risk Prediction Analysis

8:35 AM - 8:50 AM

Heng Ge

Co-authors: Tingting Hou (University of Florida), Qing Lu, Xiaoxi Shen (Texas State University)

Expert-guided penalized models for two-phase data for improved prediction of survival outcomes

8:50 AM - 9:05 AM

Eun Jeong Oh (Northwell Health)

Co-authors: Seungjun Ahn (Icahn School of Medicine at Mount Sinai), Tristan Tham (Donald and Barbara Zucker School of Medicine at Hofstra/Northwell), Min Qian (Columbia University)

Leveraging sparsity in the Gaussian linear model for improved inference

9:05 AM - 9:20 AM

Souhardya Sengupta

Co-authors: Lucas Janson

Regularization and Model Selection for Item-on-Items Regression

9:20 AM - 9:35 AM

Jan Gertheiss (Helmut Schmidt University)

Co-authors: Aisouda Hoshiyar (Helmut Schmidt University)

Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models

9:35 AM - 9:50 AM

Tate Jacobson (Oregon State University)

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model

9:50 AM - 10:05 AM

Rashmi Ranjan Bhuyan (University of Southern California)

Co-authors: Gourab Mukherjee (University of Southern California), Adel Javanmard (University of Southern California), Ryan Rossi (Adobe Research)

The Impact of Adversarial Contamination and Correlated Design on the Lasso: an Average Case Analysis

10:05 AM - 10:20 AM

Yiqiu Shen (Univerity of Southern California)

Co-authors: Stanislav Minsker (University of Southern California)