Federated learning of predictive models from federated electronic health records TS Brisimi, R Chen, T Mela, A Olshevsky, IC Paschalidis, W Shi International journal of medical informatics 112, 59-67, 2018 | 844 | 2018 |
A robust learning approach for regression models based on distributionally robust optimization R Chen, IC Paschalidis Journal of Machine Learning Research 19 (13), 1-48, 2018 | 136 | 2018 |
Distributionally Robust Learning R Chen, I Paschalidis Now Foundations and Trends in Optimization 4, 1-243, 2020 | 58 | 2020 |
Learning from past bids to participate strategically in day-ahead electricity markets R Chen, IC Paschalidis, MC Caramanis, P Andrianesis IEEE Transactions on Smart Grid 10 (5), 5794-5806, 2019 | 49 | 2019 |
An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation R Chen, J Xu, S Zhang, CH Chen, LH Lee 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 24 | 2015 |
Selecting optimal decisions via distributionally robust nearest-neighbor regression R Chen, I Paschalidis Advances in Neural Information Processing Systems 32, 2019 | 21 | 2019 |
Detection of unwarranted CT radiation exposure from patient and imaging protocol meta-data using regularized regression R Chen, IC Paschalidis, H Hatabu, VI Valtchinov, J Siegelman European Journal of Radiology Open 6, 206-211, 2019 | 11 | 2019 |
Outlier detection using robust optimization with uncertainty sets constructed from risk measures R Chen, I Paschalidis ACM SIGMETRICS Performance Evaluation Review 45 (3), 174-179, 2018 | 7 | 2018 |
Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization R Chen, IC Paschalidis, MC Caramanis 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 220-225, 2017 | 7 | 2017 |
Learning optimal personalized treatment rules using robust regression informed K-NN R Chen, I Paschalidis NeurIPS Machine Learning for Health (ML4H) Workshop, 2018 | 6 | 2018 |
Robustified multivariate regression and classification using distributionally robust optimization under the wasserstein metric R Chen, IC Paschalidis arXiv preprint arXiv:2006.06090, 2020 | 5 | 2020 |
Distributionally robust multiclass classification and applications in deep image classifiers R Chen, B Hao, IC Paschalidis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Distributionally robust learning under the wasserstein metric R Chen Boston University, 2019 | 4 | 2019 |
Simulation of Levy-driven models and its application in finance R Chen, JQ Hu, Y Peng Numerical Algebra, Control & Optimization 2 (4), 749-765, 2012 | 4 | 2012 |
Distributionally robust multi-output regression ranking S Sotudian, R Chen, I Paschalidis arXiv preprint arXiv:2109.12803, 2021 | 3 | 2021 |
A distributionally robust optimization approach for outlier detection R Chen, IC Paschalidis 2018 IEEE Conference on Decision and Control (CDC), 352-357, 2018 | 3 | 2018 |
Outlier detection using distributionally robust optimization under the Wasserstein metric R Chen, IC Paschalidis arXiv, 2017 | 3 | 2017 |
Robust grouped variable selection using distributionally robust optimization R Chen, IC Paschalidis Journal of Optimization Theory and Applications 194 (3), 1042-1071, 2022 | 2 | 2022 |
Distributionally robust learning-to-rank under the Wasserstein metric S Sotudian, R Chen, IC Paschalidis PloS one 18 (3), e0283574, 2023 | 1 | 2023 |
Distributionally robust multiclass classification and applications in deep cnn image classifiers R Chen, B Hao, I Paschalidis stat 1050, 27, 2021 | 1 | 2021 |