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pro vyhledávání: '"Ge, Haosen"'
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the guarantee that they contain the true label with high
Externí odkaz:
http://arxiv.org/abs/2405.13268
Existing approaches to algorithmic fairness aim to ensure equitable outcomes if human decision-makers comply perfectly with algorithmic decisions. However, perfect compliance with the algorithm is rarely a reality or even a desirable outcome in human
Externí odkaz:
http://arxiv.org/abs/2310.03647
Autor:
Ge, Haosen
Existing studies show that regulation is a major barrier to global economic integration. Nonetheless, identifying and measuring regulatory barriers remains a challenging task for scholars. I propose a novel approach to quantify regulatory barriers at
Externí odkaz:
http://arxiv.org/abs/2301.11084
High-quality text data has become an important data source for social scientists. We have witnessed the success of pretrained deep neural network models, such as BERT and RoBERTa, in recent social science research. In this paper, we propose a compact
Externí odkaz:
http://arxiv.org/abs/2208.08005
Publikováno v:
In Heliyon August 2018 4(8)
Autor:
Ge, Haosen
Publikováno v:
Asian Review of Political Economy; 3/13/2024, Vol. 3 Issue 1, p1-22, 22p
Autor:
Ge, Haosen
Low asset mobility is often seen as undermining the bargaining power of investors. I advance an alternative view that emphasizes the positive effects of low asset mobility. I argue that governments favor foreign firms with less mobility because their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e53253ef4ec5ea7f3f7e68b21a7a7deb