Ruidi Chen

According to our database, Ruidi Chen authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI.

Boran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers.

Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Robust Grouped Variable Selection Using Distributionally Robust Optimization.

Ruidi Chen, Ioannis Ch. Paschalidis

J. Optim. Theory Appl., 2022

2021

Distributionally Robust Multi-Output Regression Ranking.

Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis

CoRR, 2021

Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers.

Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis

CoRR, 2021

2020

Distributionally Robust Learning.

Ruidi Chen, Ioannis Ch. Paschalidis

Found. Trends Optim., 2020

Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric.

Ruidi Chen, Ioannis Ch. Paschalidis

CoRR, 2020

2019

Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets.

Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis, Panagiotis Andrianesis

IEEE Trans. Smart Grid, 2019

Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression.

Ruidi Chen, Ioannis Ch. Paschalidis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric.

Ruidi Chen, Ioannis Ch. Paschalidis

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization.

Ruidi Chen, Ioannis Ch. Paschalidis

J. Mach. Learn. Res., 2018

Federated learning of predictive models from federated Electronic Health Records.

Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch. Paschalidis, Wei Shi

Int. J. Medical Informatics, 2018

Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN.

Ruidi Chen, Ioannis Ch. Paschalidis

CoRR, 2018

A Distributionally Robust Optimization Approach for Outlier Detection.

Ruidi Chen, Ioannis Ch. Paschalidis

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures.

Ruidi Chen, Ioannis Ch. Paschalidis

SIGMETRICS Perform. Evaluation Rev., 2017

Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization.

Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015

An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation.

Ruidi Chen, Jie Xu, Si Zhang, Chun-Hung Chen, Loo Hay Lee

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015