Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
Blessings and curses of covariate shifts, directional convergece, and the connection to experimental design.
Experimental Design
Randomization Inference When N Equals One
A statistical theory for N-of-1 experiments, where a unit serves as its own control and treatment in rapid interleaving time windows.
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
This paper presents Gaussianized Design Optimization, a novel framework for optimally balancing covariates in experimental design.