Technology
ff4d5fbbafdf976cfdc032e3bde78de5-Supplemental.pdf
As such we see that this variance depends on the structure of the densityฯX with the variance of (I +ฮปL) 1ฮดX, and the labelling noise with the variance of(Y |X).
Covariate-Powered Empirical Bayes Estimation
Nikolaos Ignatiadis, Stefan Wager
We study methods for simultaneous analysis of many noisy experiments in the presence of rich covariate information.
Appendix
We summarize our notations in the following table for easy reference.
A Kernel Loss for Solving the Bellman Equation
Yihao Feng, Lihong Li, Qiang Liu
Neural Information Processing Systems http://nips.cc/
Meta-LearningforRelativeDensity-RatioEstimation
The ratio of two probability densities, called a density-ratio, is a vital quantity in machine learning.