According to our database1, Ruidi Chen authored at least 12 papers between 2015 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Robust Grouped Variable Selection Using Distributionally Robust Optimization.
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric.
Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets.
IEEE Trans. Smart Grid, 2019
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression.
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.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization.
J. Mach. Learn. Res., 2018
Federated learning of predictive models from federated Electronic Health Records.
Int. J. Medical Informatics, 2018
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN.
A Distributionally Robust Optimization Approach for Outlier Detection.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures.
SIGMETRICS Perform. Evaluation Rev., 2017
Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015