156 citations · 257 across the 30 of their papers we have counts for
14 papers · 1 filter
On Block Cholesky Decomposition for Sparse Inverse Covariance Estimation
Xiaoning Kang, Jiayi Lian, Xinwei Deng
The modified Cholesky decomposition is popular for inverse covariance estimation, but often needs pre-specification on the full information of variable ordering. In this work, we p…
Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses
Lulu Kang, Xinwei Deng, Ran Jin
Systems with both quantitative and qualitative responses are widely encountered in many applications. Design of experiment methods are needed when experiments are conducted to stud…
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
Xiaoyu Chen, Xiaoning Kang, Ran Jin +1
Fog manufacturing can greatly enhance traditional manufacturing systems through distributed Fog computation units, which are governed by predictive computational workload offloadin…
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
Qian Xiao, Yaping Wang, Abhyuday Mandal +1
A new type of experiment that aims to determine the optimal quantities of a sequence of factors is eliciting considerable attention in medical science, bioengineering, and many oth…
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors
Qian Xiao, Abhyuday Mandal, C. Devon Lin +1
Computer experiments with both quantitative and qualitative (QQ) inputs are commonly used in science and engineering applications. Constructing desirable emulators for such compute…
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…