2 citations · 4 across the 14 of their papers we have counts for
3 papers · 1 filter
Automatic Debiased Machine Learning for Covariate Shifts
Victor Chernozhukov, Michael Newey, Whitney K Newey +2
We present machine learning estimators for causal and predictive parameters under covariate shift, where covariate distributions differ between training and target populations. One…
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
Rahul Singh, Abhinek Shukla, Dootika Vats
Stochastic gradient descent (SGD) is an estimation tool for large data employed in machine learning and statistics. Due to the Markovian nature of the SGD process, inference is a c…
Kernel Ridge Regression Inference
Rahul Singh, Suhas Vijaykumar
We provide uniform confidence bands for kernel ridge regression (KRR), a widely used nonparametric regression estimator for nonstandard data such as preferences, sequences, and gra…