2 citations · 3 across the 5 of their papers we have counts for
5 papers
Incorporating Vision Bias into Click Models for Image-oriented Search Engine
Ningxin Xu, Cheng Yang, Yixin Zhu +2
Most typical click models assume that the probability of a document to be examined by users only depends on position, such as PBM and UBM. It works well in various kinds of search…
Rademacher upper bounds for cross-validation errors with an application to the lasso
Ning Xu, Timothy C. G. Fisher, Jian Hong
We establish a general upper bound for -fold cross-validation (-CV) errors that can be adapted to many -CV-based estimators and learning algorithms. Based on Rademacher co…
Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricing
Ning Xu, Timothy C. G. Fisher, Jian Hong
Endogeneity bias and instrument variable validation have always been important topics in statistics and econometrics. In the era of big data, such issues typically combine with dim…
Accuracy and stability of solar variable selection comparison under complicated dependence structures
Ning Xu, Timothy C. G. Fisher, Jian Hong
In this paper we focus on the empirical variable-selection peformance of subsample-ordered least angle regression (Solar) -- a novel ultrahigh dimensional redesign of lasso -- on t…
-stability for cross-validation and the choice of the number of folds
Ning Xu, Jian Hong, Timothy C. G. Fisher
In this paper, we introduce a new concept of stability for cross-validation, called the -stability, and use it as a new perspective to build the general t…