WORKSHOP
MODEL SELECTION, REGULARIZATION,
AND INFERENCE

Invited Session 5, Sky Lounge
Chair: Lukas Steinberger

Noureddine El Karoui (UC Berkeley):
Can We Trust the Bootstrap? (For Moderately Difficult Statistical Problems)
(Abstract)   

Contributed Session 2a, Sky Lounge
Chair: Nina Senitschnig

Oliver Dukes (Ghent University):
High-dimensional doubly robust inference for regression parameters
(Abstract)   

Vahe Avagyan (Ghent University):
Honest data-adaptive inference for the average treatment effect under model misspecification using penalised bias-reduced double-robust estimation
(Abstract)   

Matteo Sesia (Stanford University):
Gene Hunting with Knockoffs for Hidden Markov Models
(Abstract)   

Contributed Session 2b, Lecture Hall 15
Chair: Erhard Reschenhofer

Wojciech Rejchel (University of Warsaw):
Improving Lasso for Model Selection and Prediction
(Abstract)   

Ulrike Schneider (Vienna University of Technology):
On the Model Selection Properties of the Lasso
(Abstract)    (Paper)

Kory Johnson (University of Vienna):
Controlling FWER in Stepwise Regression Using Multiple Comparisons
(Abstract)   

Invited Session 6, Sky Lounge
Chair: Noureddine El Karoui

Alexandre Belloni (Duke University):
Subvector Inference in Partially Identified Models with Many Moment Inequalities
(Abstract)   

Invited Session 7, Sky Lounge
Chair: Jon Taylor

John Storey (Princeton University):
Statistical significance of large-scale regression models utilized in genome-wide association studies
(Abstract)   

Invited Session 8, Sky Lounge
Chair: David Preinerstorfer

Yoav Benjamini (Tel Aviv University):
Selective Model Searching
(Abstract)   

Invited Session 9, Sky Lounge
Chair: Ian McKeague

Jon Taylor (Stanford University):
Selective Sampling after Solving a Convex Problem
(Abstract)