Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Seo, Juwon"'
Recent advances in generative models trained on large-scale datasets have made it possible to synthesize high-quality samples across various domains. Moreover, the emergence of strong inversion networks enables not only a reconstruction of real-world
Externí odkaz:
http://arxiv.org/abs/2405.09879
We address a challenging lifelong few-shot image generation task for the first time. In this situation, a generative model learns a sequence of tasks using only a few samples per task. Consequently, the learned model encounters both catastrophic forg
Externí odkaz:
http://arxiv.org/abs/2308.11917
Opportunities for stochastic arbitrage in an options market arise when it is possible to construct a portfolio of options which provides a positive option premium and which, when combined with a direct investment in the underlying asset, generates a
Externí odkaz:
http://arxiv.org/abs/2207.00949
Publikováno v:
In Journal of Alloys and Compounds 25 November 2024 1006
Autor:
Beare, Brendan K., Seo, Juwon
Publikováno v:
Econom. Theory 36 (2020) 1025-1063
New nonparametric tests of copula exchangeability and radial symmetry are proposed. The novel aspect of the tests is a resampling procedure that exploits group invariance conditions associated with the relevant symmetry hypothesis. They may be viewed
Externí odkaz:
http://arxiv.org/abs/1911.05307
Autor:
Fang, Zheng, Seo, Juwon
This paper develops a uniformly valid and asymptotically nonconservative test based on projection for a class of shape restrictions. The key insight we exploit is that these restrictions form convex cones, a simple and yet elegant structure that has
Externí odkaz:
http://arxiv.org/abs/1910.07689
Autor:
Fang, Zheng, Seo, Juwon
Publikováno v:
Econometrica, 2021 Sep 01. 89(5), 2439-2458.
Externí odkaz:
https://www.jstor.org/stable/48731160
Autor:
Seo, Juwon
We develop a new statistical procedure to test whether the dependence structure is identical between two groups. Rather than relying on a single index such as Pearson's correlation coefficient or Kendall's Tau, we consider the entire dependence struc
Externí odkaz:
http://arxiv.org/abs/1811.02105
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