Ruidi Chen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Mathematical Programming

Multiclass Classification

Multivariate Linear Regression

Robust Optimization

Top Venues

SIGMETRICS Perform. Evaluation Rev.

J. Optim. Theory Appl.

Publications

Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. ICASSP (2023)
Boran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI. MICCAI (5) (2023)
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. CoRR (2022)
Ruidi Chen, Ioannis Ch. Paschalidis
Robust Grouped Variable Selection Using Distributionally Robust Optimization. J. Optim. Theory Appl. 194 (3) (2022)
Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Multi-Output Regression Ranking. CoRR (2021)
Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Learning. CoRR (2021)
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers. CoRR (2021)
Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Learning. Found. Trends Optim. 4 (1-2) (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric. CoRR (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
Robust Grouped Variable Selection Using Distributionally Robust Optimization. CoRR (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric. CDC (2019)
Ruidi Chen, Ioannis Ch. Paschalidis
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression. NeurIPS (2019)
Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis, Panagiotis Andrianesis
Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets. IEEE Trans. Smart Grid 10 (5) (2019)
Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch. Paschalidis, Wei Shi
Federated learning of predictive models from federated Electronic Health Records. Int. J. Medical Informatics 112 (2018)
Ruidi Chen, Ioannis Ch. Paschalidis
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization. J. Mach. Learn. Res. 19 (2018)
Ruidi Chen, Ioannis Ch. Paschalidis
A Distributionally Robust Optimization Approach for Outlier Detection. CDC (2018)
Ruidi Chen, Ioannis Ch. Paschalidis
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN. CoRR (2018)
Ruidi Chen, Ioannis Ch. Paschalidis
Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures. SIGMETRICS Perform. Evaluation Rev. 45 (3) (2017)
Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis
Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization. CDC (2017)
Ruidi Chen, Jie Xu, Si Zhang, Chun-Hung Chen, Loo Hay Lee
An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation. CASE (2015)