8 citations · 22 across the 11 of their papers we have counts for
11 papers
On the Optimality of Functional Sliced Inverse Regression
Rui Chen, Songtao Tian, Dongming Huang +2
In this paper, we prove that functional sliced inverse regression (FSIR) achieves the optimal (minimax) rate for estimating the central space in functional sufficient dimension red…
Sparse Mean Estimation in Adversarial Settings via Incremental Learning
Jianhao Ma, Rui Ray Chen, Yinghui He +2
In this paper, we study the problem of sparse mean estimation under adversarial corruptions, where the goal is to estimate the -sparse mean of a heavy-tailed distribution from s…
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
We develop a Distributionally Robust Optimization (DRO) formulation for Multiclass Logistic Regression (MLR), which could tolerate data contaminated by outliers. The DRO framework…
Distributionally Robust Multi-Output Regression Ranking
Shahabeddin Sotudian, Ruidi Chen, Ioannis Paschalidis
Despite their empirical success, most existing listwiselearning-to-rank (LTR) models are not built to be robust to errors in labeling or annotation, distributional data shift, or a…
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
Ruidi Chen, Boran Hao, Ioannis Paschalidis
We develop a Distributionally Robust Optimization (DRO) formulation for Multiclass Logistic Regression (MLR), which could tolerate data contaminated by outliers. The DRO framework…
Distributionally Robust Learning
Ruidi Chen, Ioannis Ch. Paschalidis
This monograph develops a comprehensive statistical learning framework that is robust to (distributional) perturbations in the data using Distributionally Robust Optimization (DRO)…