42 citations · 197 across the 45 of their papers we have counts for
5 papers · 1 filter
Budgeted Experiment Design for Causal Structure Learning
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash +1
We study the problem of causal structure learning when the experimenter is limited to perform at most non-adaptive experiments of size . We formulate the problem of finding…
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash +1
We study causal inference in a multi-environment setting, in which the functional relations for producing the variables from their direct causes remain the same across environments…
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
We study the problem of causal structure learning over a set of random variables when the experimenter is allowed to perform at most experiments in a non-adaptive manner. We co…
Learning Vector Autoregressive Models with Latent Processes
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash +1
We study the problem of learning the support of transition matrix between random processes in a Vector Autoregressive (VAR) model from samples when a subset of the processes are la…
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
We propose an approach for learning the causal structure in stochastic dynamical systems with a -step functional dependency in the presence of latent variables. We propose an in…