| Benchmark for filter methods for feature selection in high-dimensional classification data A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang Computational Statistics & Data Analysis, 106839, 2019 | 458 | 2019 |
| Maximum Entropy-Regularized Multi-Goal Reinforcement Learning R Zhao, X Sun, V Tresp Proceedings of the 36th International Conference on Machine Learning, 7553--7562, 2019 | 83 | 2019 |
| First investigations on noisy model-based multi-objective optimization D Horn, M Dagge, X Sun, B Bischl Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017 | 23 | 2017 |
| ReinBo: Machine learning pipeline conditional hierarchy search and configuration with Bayesian optimization embedded reinforcement learning X Sun, J Lin, B Bischl Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 19* | 2020 |
| Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning X Sun, B Bischl 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 | 19* | 2019 |
| A Lesson learned from PMF based approach for Semantic Recommender System N Kushwaha, X Sun, B Singh, OP Vyas Journal of Intelligent Information Systems 50, 441-453, 2018 | 14 | 2018 |
| Detecting Chinese calligraphy style consistency by deep learning and one-class SVM Z Jiulong, G Luming, Y Su, S Xudong, L Xiaoshan 2017 2nd International Conference on Image, Vision and Computing (ICIVC), 83-86, 2017 | 13 | 2017 |
| Benchmarking time series classification--Functional data vs machine learning approaches F Pfisterer, L Beggel, X Sun, F Scheipl, B Bischl arXiv preprint arXiv:1911.07511, 2019 | 12 | 2019 |
| High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions X Sun, A Bommert, F Pfisterer, J Rahnenführer, M Lang, B Bischl Intelligent Systems and Applications, 629--647, 2019 | 12 | 2019 |
| Learning-based design of Luenberger observers for autonomous nonlinear systems MUB Niazi, J Cao, X Sun, A Das, KH Johansson 2023 American Control Conference (ACC), 3048-3055, 2023 | 11 | 2023 |
| Implementation and integration of a systematic DBPM calibration with PLL frequency synthesis and FPGA X Sun, Y Leng Nuclear Science and Techniques 25 (2), 2014 | 5* | 2014 |
| Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift A Gossmann, KH Cha, X Sun Medical Imaging 2020: Computer-Aided Diagnosis 11314, 8-18, 2020 | 4 | 2020 |
| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift X Sun, A Gossmann, Y Wang, B Bischl 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 | 4* | 2019 |
| Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization X Sun, F Buettner ICLR 2021 RobustML workshop, https://arxiv.org/pdf/2101.09436.pdf, 2021 | 2* | 2021 |
| Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set M Sidulova, X Sun, A Gossmann International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms Y Xing, X Sun, KH Johansson IFAC-PapersOnLine 56 (2), 664-669, 2023 | | 2023 |
| KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health F Wang, P Chakraborty, T Xu, PYS Hsueh, X Sun, G Stiglic, G Crane, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | | 2021 |
| Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline tuning and shifted … X Sun https://edoc.ub.uni-muenchen.de/28669/, 2021 | | 2021 |
| paradox: Define and Work with Parameter Spaces for Complex Algorithms MB Michel Lang, Bernd Bischl, Jakob Richter, Xudong Sun, Martin Binder https://cran.r-project.org/web/packages/paradox/index.html, 2019 | | 2019 |
| Variational inference based assessment of mammographic lesion classification algorithms under distribution shift A Gossmann, KH Cha, X Sun NeurIPS 2019 workshop: Medical Imaging meets NeurIPS 2019, 2019 | | 2019 |
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
