4 citations · 4 across the 2 of their papers we have counts for
14 papers
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…
Sampling Constrained Continuous Probability Distributions: A Review
Shiwei Lan, Lulu Kang
The problem of sampling constrained continuous distributions has frequently appeared in many machine/statistical learning models. Many Monte Carlo Markov Chain (MCMC) sampling meth…
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen, Yiwei Wang, Lulu Kang +1
We propose a novel deterministic sampling method, EVI-MMD, to approximate a target distribution by minimizing the kernel discrepancy, also known as the Maximum Mean Discrepan…
A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
Xiaoning Kang, Lulu Kang, Wei Chen +1
In many scientific areas, data with quantitative and qualitative (QQ) responses are commonly encountered with a large number of predictors. By exploring the association between QQ…
Fair and Diverse Allocation of Scarce Resources
Hadis Anahideh, Lulu Kang, Nazanin Nezami
We aim to design a fairness-aware allocation approach to maximize the geographical diversity and avoid unfairness in the sense of demographic disparity. During the development of t…
Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
Xiaoning Kang, Shyam Ranganathan, Lulu Kang +2
Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will provide improved results than…