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April 1, 2026Scientia Sinica Mathematica

Algorithmic Inference: A Modern Machine Learning Approach by blending Algorithmic Thinking and Inferential Thinking

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Key Points

This research aims to explore how combining algorithmic thinking and inferential thinking enhances machine learning methods.
Examined the structure of problems and potential data distributions for algorithm design.
Studied high-dimensional statistical inference and adaptive algorithms from the perspectives of sample and computational efficiency.
Introduced a framework for algorithmic inference that produces logical and trustworthy conclusions from data.
Highlighting the progression and potential pathways for further advancements in algorithmic inference techniques.

Implication

Reviewing the development of algorithmic inference in machine learning, suggesting future directions.

Abstract

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Cite This Study

Zhihua Zhang (2026) studied this question.

synapsesocial.com/papers/69fd7ddcbfa21ec5bbf060e5 https://doi.org/10.1360/ssm-2026-0032

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