282 citations · 468 across the 4 of their papers we have counts for
4 papers
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
Renzhe Xu, Xingxuan Zhang, Zheyan Shen +2
Covariate-shift generalization, a typical case in out-of-distribution (OOD) generalization, requires a good performance on the unknown test distribution, which varies from the acce…
Multi-stage Convex Relaxation for Feature Selection
Tong Zhang
A number of recent work studied the effectiveness of feature selection using Lasso. It is known that under the restricted isometry properties (RIP), Lasso does not generally lead t…
From -entropy to KL-entropy: Analysis of minimum information complexity density estimation
Tong Zhang
We consider an extension of -entropy to a KL-divergence based complexity measure for randomized density estimation methods. Based on this extension, we develop a general informa…
Boosting with early stopping: Convergence and consistency
Tong Zhang, Bin Yu
Boosting is one of the most significant advances in machine learning for classification and regression. In its original and computationally flexible version, boosting seeks to mini…