156 citations · 257 across the 30 of their papers we have counts for
9 papers · 1 filter
Building Degradation Index with Variable Selection for Multivariate Sensory Data
Yueyao Wang, I-Chen Lee, Yili Hong +1
The modeling and analysis of degradation data have been an active research area in reliability and system health management. As the senor technology advances, multivariate sensory…
A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems
Peng Xu, Alejandro Salado, Xinwei Deng
Verification is a critical process in the development of engineered systems. Through verification, engineers gain confidence in the correct functionality of the system before it is…
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo, Junya Chen, Dong Wang +6
Successful applications of InfoNCE and its variants have popularized the use of contrastive variational mutual information (MI) estimators in machine learning. While featuring supe…
Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
Peng Tang, Huijing Jiang, Heeyoung Kim +1
Estimation of a precision matrix (i.e., inverse covariance matrix) is widely used to exploit conditional independence among continuous variables. The influence of abnormal observat…
Efficient Experimental Design for Regularized Linear Models
C. Devon Lin, Peter Chien, Xinwei Deng
Regularized linear models, such as Lasso, have attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient data co…
On Efficient Design of Pilot Experiment for Generalized Linear Models
Yiou Li, Xinwei Deng
The experimental design for a generalized linear model (GLM) is important but challenging since the design criterion often depends on model specification including the link functio…