67 citations · 72 across the 7 of their papers we have counts for
7 papers
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Qi Qi, Jiameng Lyu, Kung sik Chan +2
Distributionally Robust Optimization (DRO), as a popular method to train robust models against distribution shift between training and test sets, has received tremendous attention…
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms
Biqiang Mu, Tianshi Chen, Changming Cheng +1
This paper investigates two issues on identification of switched linear systems: persistence of excitation and numerical algorithms. The main contribution is a much weaker conditio…
Sparse System Identification for Stochastic Feedback Control Systems
Wenxiao Zhao, George G. Yin, Er-Wei Bai
Focusing on identification, this paper develops techniques to reconstruct zero and nonzero elements of a sparse parameter vector of a stochastic dynamic system under feedback contr…
Testing for shielding of special nuclear weapon materials
Kung-Sik Chan, Jinzheng Li, William Eichinger +1
Nuclear-weapon-material detection via gamma-ray sensing is routinely applied, for example, in monitoring cross-border traffic. Natural or deliberate shielding both attenuates and d…
Toeplitz Matrix Based Sparse Error Correction in System Identification: Outliers and Random Noises
Weiyu Xu, Er-Wei Bai, Myung Cho
In this paper, we consider robust system identification under sparse outliers and random noises. In our problem, system parameters are observed through a Toeplitz matrix. All obser…
Outliers and Random Noises in System Identification: a Compressed Sensing Approach
Weiyu Xu, Erwei Bai, Myung Cho
In this paper, we consider robust system identification under sparse outliers and random noises. In this problem, system parameters are observed through a Toeplitz matrix. All obse…
A Web Aggregation Approach for Distributed Randomized PageRank Algorithms
Hideaki Ishii, Roberto Tempo, Er-Wei Bai
The PageRank algorithm employed at Google assigns a measure of importance to each web page for rankings in search results. In our recent papers, we have proposed a distributed rand…