Online Program Home
My Program

Legend:
CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

220 Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-102
Uncertainty Quantification for Stochastic Optimization Methods in Machine Learning — Invited Papers
IMS, IEEE Computer Society
Organizer(s): Weijie Su, University of Pennsylvania
Chair(s): Weijie Su, University of Pennsylvania
2:30 PM Convergence Diagnostics for Stochastic Gradient Methods

Panagiotis Toulis, University of Chicago Booth School of Business; Jerry Chee, University of Chicago
2:55 PM Data-Adaptive Learning Rate Selection for Stochastic Gradient Descent Using Convergence Diagnostic

Matteo Sordello, University of Pennsylvania; Weijie Su, University of Pennsylvania
3:20 PM First-Order Newton-Type Estimator for Distributed Estimation and Inference
Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University; Yichen Zhang, New York University
3:45 PM Floor Discussion