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The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizin...
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
In this paper we apply economic narratives to inflation forecasting using a large news corpus and machine learning algorithms. We measure economic narratives quantitatively from the full text content ...
In this talk, we present our work on structure-preserving machine learning (ML) moment closure models for the radiative transfer equation. Most of the existing ML closure models are not able to guaran...
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究,我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性,用二元伽马过程来描述系统退化过程。系统元件服从周期性检测,当元件的退化程度超过预防性维护阈值时,其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略,有限周期的最优策略是动态的,其在每次检测都...
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究,我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性,用二元伽马过程来描述系统退化过程。系统元件服从周期性检测,当元件的退化程度超过预防性维护阈值时,其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略,有限周期的最优策略是动态的,其在每次检测都...
Why do neural networks (NN) that look so complex usually generalize well? To understand this problem, we find some simple implicit regularizations during training NNs. The first is the frequency princ...
We present recent developments in double machine learning (DML) approach. The DML approach is concerned primarily with selecting the relevant control variables and functional forms necessary for the c...
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
This talk focuses on the even-triggered cooperative control problem of heterogeneous multi-agent systems (MASs) using data-based reinforcement learning (RL) algorithm. To lower the communication and c...
2021年6月25-27日,国家天元数学西北中心在西安交通大学举办Statistical learning methods in modern AI国际会议。本次会议由普林斯顿大学范剑青院士、美国北卡罗来纳教堂山分校朱宏图教授和西安交通大学姜丹丹教授共同召集组织。会议邀请了世界知名高校及企业的一线专家以线上或线下的方式带来了29场前沿学术报告。西安交通大学的青年教师和在校研究生现场聆听了报告,30...
The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and dev...
All submitted conference papers will be blind peer reviewed by three competent reviewers. After a careful reviewing process, all accepted papers after proper registration and presentation, will be pub...
The International Conference on Machine Learning and Data Science will focus on topics that are of interest to computer and computational scientists and engineers. MLDS-2017 will bring together resear...
This workshop aims to bring together a growing community of researchers, practitioners, and policymakers concerned with fairness, accountability, and transparency in machine learning. The past few yea...

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