Search Results for author: Xue Chen

Found 6 papers, 0 papers with code

Active Regression via Linear-Sample Sparsification

no code implementations27 Nov 2017 Xue Chen, Eric Price

We present an approach that improves the sample complexity for a variety of curve fitting problems, including active learning for linear regression, polynomial regression, and continuous sparse Fourier transforms.

Active Learning regression

Adversarially Robust Low Dimensional Representations

no code implementations29 Nov 2019 Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan

In particular, our adversarially robust PCA primitive leads to computationally efficient and robust algorithms for both unsupervised and supervised learning problems such as clustering and learning adversarially robust classifiers.

BIG-bench Machine Learning Clustering

Estimating Principal Components under Adversarial Perturbations

no code implementations31 May 2020 Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan

We design a computationally efficient algorithm that given corrupted data, recovers an estimate of the top-$r$ principal subspace with error that depends on a robustness parameter $\kappa$ that we identify.

BIG-bench Machine Learning

Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence

no code implementations3 Feb 2021 Xue Chen, Michał Dereziński

An important example is least absolute deviation regression ($\ell_1$ regression) which enjoys superior robustness to outliers compared to least squares.

Learning Theory regression +1

Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning

no code implementations1 Oct 2021 Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu

Our results show that the ORRS measurements, assisted by the machine-learning-based ensemble model developed here, can realize day-to-day supervision of on-road vehicle-specific emissions.

A Resonance Model for Spontaneous Cortical Activity

no code implementations31 Aug 2022 Yanjiang Wang, Jichao Ma, Jiebin Luo, Xue Chen, Yue Yuan

How human brain function emerges from structure has intrigued researchers for decades and numerous models have been put forward, yet none of them yields a close structure-function relation.

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