37 citations · 43 across the 7 of their papers we have counts for
7 papers
User-Oriented Smart General AI System under Causal Inference
Huimin Peng
General AI system solves a wide range of tasks with high performance in an automated fashion. The best general AI algorithm designed by one individual is different from that devise…
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning
Huimin Peng
This paper briefly reviews the connections between meta-learning and self-supervised learning. Meta-learning can be applied to improve model generalization capability and to constr…
A Brief Survey of Associations Between Meta-Learning and General AI
Huimin Peng
This paper briefly reviews the history of meta-learning and describes its contribution to general AI. Meta-learning improves model generalization capacity and devises general algor…
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
This article reviews meta-learning also known as learning-to-learn which seeks rapid and accurate model adaptation to unseen tasks with applications in highly automated AI, few-sho…
Measurement Error in Nutritional Epidemiology: A Survey
Huimin Peng
This article reviews bias-correction models for measurement error of exposure variables in the field of nutritional epidemiology. Measurement error usually attenuates estimated slo…
Holding-Based Evaluation upon Actively Managed Stock Mutual Funds in China
Huimin Peng
We analyze actively managed mutual funds in China from 2005 to 2017. We develop performance measures for asset allocation and selection. We find that stock selection ability from h…
Post-Lasso Inference for High-Dimensional Regression
X. Jessie Jeng, Huimin Peng, Wenbin Lu
Among the most popular variable selection procedures in high-dimensional regression, Lasso provides a solution path to rank the variables and determines a cut-off position on the p…