The paper proves generalization bounds and stopping rules for self-selected data in reciprocal learning.
arXiv research
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New algorithm tackles self-selection bias in estimating linear regressors.
Estimates linear models from self-selected data, addressing econometric challenges.
Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e.g., knowledge library or deep network weights. However, the knowledge libraries or deep networks for most recent lifelong learning models are with prescribed size, and can degenerate the …
One of the key elements in the banking industry rely on the appropriate selection of customers. In order to manage credit risk, banks dedicate special efforts in order to classify customers according to their risk. The usual decision making process consists in gathering personal and financial information about the borr…
When the residents of Flint learned that lead had contaminated their water system, the local government made water-testing kits available to them free of charge. The city government published the results of these tests, creating a valuable dataset that is key to understanding the causes and extent of the lead contamina…
Study finds consumers are more price-sensitive before livestreams than after.
Balance corrects biased survey data for more accurate insights.
Study uses three sources to evaluate language models fairly.
Optimal insurance contracts are designed to screen risk preferences and risk types under asymmetric information.