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检索条件"机构=a Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE"
213 条 记 录,以下是51-60 订阅
排序:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
arXiv
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arXiv 2023年
作者: Li, Yunchen Yu, Zhou He, Gaoqi Shen, Yunhang Li, Ke Sun, Xing Lin, Shaohui East China Normal University China Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of Education China Youtu Lab Tencent Shanghai China
Symmetric positive definite (SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous works on SPD matrices mostly focus on d... 详细信息
来源: 评论
Modelling Correlation Matrices in Multivariate Dyadic data: Latent Variable Models for Intergenerational Exchanges of Family Support
arXiv
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arXiv 2022年
作者: Zhang, Siliang Kuha, Jouni Steele, Fiona Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University China Department of Statistics London School of Economics & Political Science United Kingdom
We define a model for the joint distribution of multiple continuous latent variables which includes a model for how their correlations depend on explanatory variables. This is motivated by and applied to social scient... 详细信息
来源: 评论
A review of distributed statistical inference
arXiv
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arXiv 2023年
作者: Gao, Yuan Liu, Weidong Wang, Hansheng Wang, Xiaozhou Yan, Yibo Zhang, Riquan School of Statistics Key Laboratory of Advanced Theory and Application in Statistics and Data Science - MOE East China Normal University Shanghai China School of Mathematical Sciences Key Lab of Artificial Intelligence - MOE Shanghai Jiao Tong University Shanghai China Guanghua School of Management Peking University Beijing China
The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to develop novel algorithms. Inspired by the... 详细信息
来源: 评论
Semiparametric Likelihood-based Inference for Censored data with Auxiliary Information from External Massive data Sources
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Acta Mathematicae Applicatae Sinica 2020年 第3期36卷 642-656页
作者: Yue-xin FANG Yong ZHOU School of Statistics and Management Shanghai University of Finance and EconomicsShanghai200433China Key Laboratory of Advanced Theory and Application in Statistics and Data Science MOEand Academy of Statistics and Interdisciplinary SciencesEast China Normal UniversityShanghai 200062China
Published auxiliary information can be helpful in conducting statistical inference in a new *** this paper,we synthesize the auxiliary information with semiparametric likelihood-based inference for censoring data with... 详细信息
来源: 评论
RecursiveDet: End-to-End Region-based Recursive Object Detection
RecursiveDet: End-to-End Region-based Recursive Object Detec...
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International Conference on Computer Vision (ICCV)
作者: Jing Zhao Li Sun Qingli Li Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai China Key Laboratory of Advanced Theory and Application in Statistics and Data Science East China Normal University Shanghai China
End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previous results. Model parameters within ...
来源: 评论
RecursiveDet: End-to-End Region-based Recursive Object Detection
arXiv
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arXiv 2023年
作者: Zhao, Jing Sun, Li Li, Qingli Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai China Key Laboratory of Advanced Theory and Application in Statistics and Data Science East China Normal University Shanghai China
End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previous results. Model parameters within ... 详细信息
来源: 评论
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cr...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Lianggangxu Chen Xuejiao Wang Jiale Lu Shaohui Lin Changbo Wang Gaoqi He School of Computer Science and Technology East China Normal University Shanghai China Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of Education China Chongqing Key Laboratory of Precision Optics Chongqing Institute of East China Normal University Chongqing China
3D Scene Graph Generation (3DSGG) aims to classify objects and their predicates within 3D point cloud scenes. However, current 3DSGG methods struggle with two main challenges. 1) The dependency on labor-intensive grou... 详细信息
来源: 评论
Optimal mean-variance reinsurance and investment strategy with constraints in a non-Markovian regime-switching model
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Statistical theory and Related Fields 2020年 第2期4卷 214-227页
作者: Liming Zhang Rongming Wang Jiaqin Wei Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal UniversityShanghaiPeoples Republic of China
This paper is devoted to study the proportional reinsurance/new business and investment problem under the mean-variance criterion in a continuous-time *** strategies are constrained in the non-negative cone and all co... 详细信息
来源: 评论
Constrained Multi-objective Optimization Based on Dynamic Priority and Cooperative Offspring Generation
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IEEE Transactions on Evolutionary Computation 2025年
作者: He, Zhihui Wang, Feng Li, Bingdong Zhou, Aimin Wuhan University School of Computer Science Hubei 430072 China East China Normal University Shanghai Frontiers Science Center of Molecule Intelligent Syntheses Shanghai Institute of AI for Education School of Computer Science and Technology Shanghai200062 China Ministry of Education Key Laboratory of Advanced Theory and Application in Statistics and Data Science China
As the number and complexity of constraints in constrained multi-objective optimization problems (CMOPs) increase, the performance of existing constrained multi-objective evolutionary algorithms (CmoeAs) declines sign... 详细信息
来源: 评论
ON STOCHASTIC CONTROL PROBLEMS WITH HIGHER-ORDER MOMENTS
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SIAM Journal on Control and Optimization 2025年 第3期63卷 1560-1589页
作者: Wang, Yike Liu, Jingzhen Bensoussan, Alain Cedric Yiu, Ka-Fai Wei, Jiaqin School of Finance Chongqing Technology and Business University Chongqing China China Institute for Actuarial Science Central University of Finance and Economics Beijing China SNaveen Jindal School of Management University of Texas at Dallas DallasTX75080 United States Department of Applied Mathematics Hong Kong Polytechnic University Hong Kong Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University Shanghai China
In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the terminal value of state. To tackle th... 详细信息
来源: 评论