2 papers
stat.ME2019
Minimax designs for causal effects in temporal experiments with treatment habituation
Guillaume Basse, Yi Ding, Panos Toulis
Randomized experiments are the gold standard for estimating the causal effects of an intervention. In the simplest setting, each experimental unit is randomly assigned to receive t…
stat.ML2017
Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
Gaussian process regression generally does not scale to beyond a few thousands data points without applying some sort of kernel approximation method. Most approximations focus on t…