activity
20132023
most citedOptimal Bayesian Transfer Learning

86 citations · 194 across the 11 of their papers we have counts for

collaborators

12 papers

q-bio.GN2023

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

Xihaier Luo, Sean McCorkle, Gilchan Park +6

There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene exp…

stat.ME2021

Adaptive Group Testing with Mismatched Models

Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander +2

Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups…

stat.ML2021★ 7 cited

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning

Omar Maddouri, Xiaoning Qian, Francis J. Alexander +2

Classification has been a major task for building intelligent systems as it enables decision-making under uncertainty. Classifier design aims at building models from training data…

math.OC2020★ 15 cited

Quantifying the multi-objective cost of uncertainty

Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty

Various real-world applications involve modeling complex systems with immense uncertainty and optimizing multiple objectives based on the uncertain model. Quantifying the impact of…

stat.ML2019★ 1 cited

Optimal Clustering with Missing Values

Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian +1

Missing values frequently arise in modern biomedical studies due to various reasons, including missing tests or complex profiling technologies for different omics measurements. Mis…

q-bio.GN2019

Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

Ehsan Hajiramezanali, Mahdi Imani, Ulisses Braga-Neto +2

Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory mac…