The following problem models are implemented in the subdirectories. Each implementation contains three components: model: implements simulator based on how the problem is modeled policy: implements ...

A practical comparison of gradient descent algorithms to predict student performance using study and lifestyle data, with visual analysis.

杨文昊，斯坦福管理科学与工程系博士后，2023年毕业于北京大学。主要研究方向包括统计学习理论，重尾理论，分布式稳健等。论文发表于Annals of Statistics, TPAMI等期刊以及NeurIPS, ICML, ICLR, ...

Technical analysis, on the other hand, uses charts and various technical indicators to forecast market conditions. One of the essential tools used for technical analysis in securities trading is the ...

Abstract: As a potential solver for combinatorial optimization problems (COPs), the convergence speed and accuracy of Ising machines still have room to be improved at the level of algorithm and ...

2025年4月，国际学习表征会议（ICLR）再次成为深度学习领域的焦点。此次会议上，宣布了重磅的时间检验奖（Test of Time Award），由Jimmy Ba与Diederik P. Kingma共同提出的Adam优化器荣获冠军，而Yoshua Bengio的团队则因其引入的注意力机制获得亚军。这一殊荣不仅展示了这两项技术过去十年的影响力，更透露出深度学习研究领域发展的趋势与未来潜力。通过 ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

Abstract: This work presents an adaptive approach to the problem of estimating a sampled, stochastic process described by an initially unknown parameter ... all of which have used approximation ...

Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in ...

One of the biggest mistakes in AI adoption is automating a broken or inefficient process. AI doesn’t fix inefficiencies—it ...

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte ...