activity
20182021
most citedA Brief Survey of Associations Between Meta-Learning and General AI

2 citations · 2 across the 1 of their papers we have counts for

collaborators

6 papers

cs.LG2021

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…

cs.AI20212 cited

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…

cs.LG2020

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…

stat.ME2020

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…

q-fin.PM2020

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…

stat.ME2018

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…