activity
20152022
most citedCausal Discovery in the Presence of Measurement Error: Identifiability Conditions

20 citations · 40 across the 7 of their papers we have counts for

collaborators

10 papers

cs.AI20212 cited

Improving Accuracy of Permutation DAG Search using Best Order Score Search

Joseph D. Ramsey

The Sparsest Permutation (SP) algorithm is accurate but limited to about 9 variables in practice; the Greedy Sparest Permutation (GSP) algorithm is faster but less weak theoretical…

cs.LG20213 cited

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders

Wei Chen, Kun Zhang, Ruichu Cai +4

We consider the problem of estimating a particular type of linear non-Gaussian model. Without resorting to the overcomplete Independent Component Analysis (ICA), we show that under…

q-bio.NC2019

Identification of Effective Connectivity Subregions

Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang +1

Standard fMRI connectivity analyses depend on aggregating the time series of individual voxels within regions of interest (ROIs). In certain cases, this spatial aggregation implies…

q-bio.NC20197 cited

Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data

Biwei Huang, Kun Zhang, Ruben Sanchez-Romero +3

Autism spectrum disorder (ASD) is one of the major developmental disorders affecting children. Recently, it has been hypothesized that ASD is associated with atypical brain connect…

cs.LG2019

Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes

Biwei Huang, Kun Zhang, Jiji Zhang +4

It is commonplace to encounter heterogeneous or nonstationary data, of which the underlying generating process changes across domains or over time. Such a distribution shift featur…

q-bio.MN2018

FASK with Interventional Knowledge Recovers Edges from the Sachs Model

Joseph Ramsey, Bryan Andrews

We report a procedure that, in one step from continuous data with minimal preparation, recovers the graph found by Sachs et al. \cite{sachs2005causal}, with only a few edges differ…