Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Zhu, Yinchu"'
This paper investigates statistical inference for noisy matrix completion in a semi-supervised model when auxiliary covariates are available. The model consists of two parts. One part is a low-rank matrix induced by unobserved latent factors; the oth
Externí odkaz:
http://arxiv.org/abs/2403.14899
Autor:
Zhu, Yinchu, Ryzhov, Ilya O.
Semidiscrete optimal transport is a challenging generalization of the classical transportation problem in linear programming. The goal is to design a joint distribution for two random variables (one continuous, one discrete) with fixed marginals, in
Externí odkaz:
http://arxiv.org/abs/2310.00786
Autor:
Zhu, Yinchu
We study the identification of binary choice models with fixed effects. We provide a condition called sign saturation and show that this condition is sufficient for the identification of the model. In particular, we can guarantee identification even
Externí odkaz:
http://arxiv.org/abs/2206.10475
Autor:
Zhu, Yinchu, Ryzhov, Ilya O.
We present a data-driven prescriptive framework for fair decisions, motivated by hiring. An employer evaluates a set of applicants based on their observable attributes. The goal is to hire the best candidates while avoiding bias with regard to a cert
Externí odkaz:
http://arxiv.org/abs/2206.09300
Autor:
Yun, Tao, Hua, Jionggang, Ye, Weicheng, Chen, Liu, Ni, Zheng, Zhu, Yinchu, Zheng, Chunfu, Zhang, Cun
Publikováno v:
In International Journal of Biological Macromolecules November 2024 281 Part 4
Publikováno v:
In International Journal of Forecasting July-September 2024 40(3):918-941
Publikováno v:
In Journal of Financial Stability June 2024 72
This paper studies inference in linear models with a high-dimensional parameter matrix that can be well-approximated by a ``spiked low-rank matrix.'' A spiked low-rank matrix has rank that grows slowly compared to its dimensions and nonzero singular
Externí odkaz:
http://arxiv.org/abs/2107.02602
Autor:
Zhu, Yinchu
We consider the setting in which a strong binary instrument is available for a binary treatment. The traditional LATE approach assumes the monotonicity condition stating that there are no defiers (or compliers). Since this condition is not always obv
Externí odkaz:
http://arxiv.org/abs/2103.13369
Autor:
Bradic, Jelena, Zhu, Yinchu
Breiman challenged statisticians to think more broadly, to step into the unknown, model-free learning world, with him paving the way forward. Statistics community responded with slight optimism, some skepticism, and plenty of disbelief. Today, we are
Externí odkaz:
http://arxiv.org/abs/2103.11327