| Conformal prediction interval for dynamic time-series C Xu, Y Xie International Conference on Machine Learning, 2021, 2021 | 90 | 2021 |
| Predictive inference is free with the jackknife+-after-bootstrap B Kim, C Xu, RF Barber Advances in Neural Information Processing Systems 34 (NeurIPS 2020), 2020 | 76 | 2020 |
| Conformal prediction for time-series C Xu, Y Xie IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 17* | 2023 |
| Sequential Predictive Conformal Inference for Time Series C Xu, Y Xie International Conference on Machine Learning, 2023, 2023 | 14 | 2023 |
| Conformal prediction set for time-series C Xu, Y Xie ICML 2022 Workshop Distribution-Free Uncertainty Quantification, 2022 | 9* | 2022 |
| Conformal anomaly detection on spatio-temporal observations with missing data C Xu, Y Xie ICML 2021 Workshop Distribution-Free Uncertainty Quantification, 2021 | 9 | 2021 |
| Invertible Neural Networks for Graph Prediction C Xu, X Cheng, Y Xie IEEE Journal on Selected Areas in Information Theory, 2022 | 8 | 2022 |
| Normalizing flow neural networks by JKO scheme C Xu, X Cheng, Y Xie Advances in Neural Information Processing Systems 37 (NeurIPS 2023), 2023 | 6* | 2023 |
| Computing high-dimensional optimal transport by flow neural networks C Xu, X Cheng, Y Xie NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023 | 4* | 2023 |
| Generalized generalized linear models: Convex estimation and online bounds A Juditsky, A Nemirovski, Y Xie, C Xu arXiv preprint arXiv:2304.13793, 2023 | 2 | 2023 |
| Spatio-Temporal Wildfire Prediction using Multi-Modal Data C Xu, DAZ Vazquez, R Yao, F Qiu, Y Xie IEEE Journal on Selected Areas in Information Theory, 2023 | 2* | 2023 |
| Solar radiation ramping events modeling using spatio-temporal point processes M Zhang, C Xu, A Sun, F Qiu, Y Xie 2021 INFORMS Conference on Service Science, 2021 | 2 | 2021 |
| Flow-based Distributionally Robust Optimization C Xu, J Lee, X Cheng, Y Xie IEEE Journal on Selected Areas in Information Theory, 2024 | 1 | 2024 |
| An alternative approach to train neural networks using monotone variational inequality C Xu, X Cheng, Y Xie OPT 2023: Optimization for Machine Learning, 2022 | 1 | 2022 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets C Xu, H Jiang, Y Xie arXiv preprint arXiv:2403.03850, 2024 | | 2024 |
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
