4 citations · 4 across the 2 of their papers we have counts for
7 papers
Characterizing Performance Inequity Across U.S. Ookla Speedtest Users
Udit Paul, Jiamo Liu, Vivek Adarsh +3
The Internet has become indispensable to daily activities, such as work, education and health care. Many of these activities require Internet access data rates that support real-ti…
Emulating the First Principles of Matter: A Probabilistic Roadmap
Jianzhong Wu, Mengyang Gu
This chapter provides a tutorial overview of first principles methods to describe the properties of matter at the ground state or equilibrium. It begins with a brief introduction t…
Generalized probabilistic principal component analysis of correlated data
Mengyang Gu, Weining Shen
Principal component analysis (PCA) is a well-established tool in machine learning and data processing. The principal axes in PCA were shown to be equivalent to the maximum marginal…
Nonparametric estimation of utility functions
Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian
Inferring a decision maker's utility function typically involves an elicitation phase where the decision maker responds to a series of elicitation queries, followed by an estimatio…
A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration
Mengyang Gu, Fangzheng Xie, Long Wang
Model calibration or data inversion is one of fundamental tasks in uncertainty quantification. In this work, we study the theoretical properties of the scaled Gaussian stochastic p…
Jointly Robust Prior for Gaussian Stochastic Process in Emulation, Calibration and Variable Selection
Mengyang Gu
Gaussian stochastic process (GaSP) has been widely used in two fundamental problems in uncertainty quantification, namely the emulation and calibration of mathematical models. Some…