Xudong Sun
Xudong Sun
Bestätigte E-Mail-Adresse bei stat.uni-muenchen.de
Zitiert von
Zitiert von
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
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
First investigations on noisy model-based multi-objective optimization
D Horn, M Dagge, X Sun, B Bischl
International Conference on Evolutionary Multi-Criterion Optimization, 298-313, 2017
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 (3), 441-453, 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
ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning
X Sun, J Lin, B Bischl
Joint European Conference on Machine Learning and Knowledge Discovery in …, 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
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
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
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
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
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, 1131404, 2020
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
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