15 citations · 48 across the 7 of their papers we have counts for
9 papers
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
Ben Lengerich, Caleb Ellington, Bryon Aragam +2
Context-specific Bayesian networks (i.e. directed acyclic graphs, DAGs) identify context-dependent relationships between variables, but the non-convexity induced by the acyclicity…
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data
Yongjin Park, Abhishek Sarkar, Khoi Nguyen +1
Summary statistics of genome-wide association studies (GWAS) teach causal relationship between millions of genetic markers and tens and thousands of phenotypes. However, underlying…
Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data
Shifa Zhang, Anne Kim, Dianbo Liu +10
Artificial Intelligence (AI) incorporating genetic and medical information have been applied in disease risk prediction, unveiling disease mechanism, and advancing therapeutics. Ho…
A latent topic model for mining heterogenous non-randomly missing electronic health records data
Yue Li, Manolis Kellis
Electronic health records (EHR) are rich heterogeneous collection of patient health information, whose broad adoption provides great opportunities for systematic health data mining…
Network Infusion to Infer Information Sources in Networks
Soheil Feizi, Muriel Medard, Gerald Quon +2
Several significant models have been developed that enable the study of diffusion of signals across biological, social and engineered networks. Within these established frameworks,…
Network Maximal Correlation
Soheil Feizi, Ali Makhdoumi, Ken Duffy +2
We introduce Network Maximal Correlation (NMC) as a multivariate measure of nonlinear association among random variables. NMC is defined via an optimization that infers transformat…
Spectral Alignment of Graphs
Soheil Feizi, Gerald Quon, Mariana Recamonde-Mendoza +3
Graph alignment refers to the problem of finding a bijective mapping across vertices of two graphs such that, if two nodes are connected in the first graph, their images are connec…
A Perspective on Future Research Directions in Information Theory
Jeffrey G. Andrews, Alexandros Dimakis, Lara Dolecek +15
Information theory is rapidly approaching its 70th birthday. What are promising future directions for research in information theory? Where will information theory be having the mo…
Diversifying Sparsity Using Variational Determinantal Point Processes
Nematollah Kayhan Batmanghelich, Gerald Quon, Alex Kulesza +3
We propose a novel diverse feature selection method based on determinantal point processes (DPPs). Our model enables one to flexibly define diversity based on the covariance of fea…