1 citations · 1 across the 3 of their papers we have counts for
4 papers
Relational Structural Causal Models
Adiba Ejaz, Elias Bareinboim
An artificial intelligence must have a model of its environment that is causal, supporting reasoning about interventions and counterfactuals, and also combinatorial, supporting gen…
Less Greedy Equivalence Search
Adiba Ejaz, Elias Bareinboim
Greedy Equivalence Search (GES) is a classic score-based algorithm for causal discovery from observational data. In the sample limit, it recovers the Markov equivalence class of gr…
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
Hyunchai Jeong, Adiba Ejaz, Jin Tian +1
Testing a hypothesized causal model against observational data is a key prerequisite for many causal inference tasks. A natural approach is to test whether the conditional independ…
Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
Daniel Mitropolsky, Adiba Ejaz, Mirah Shi +2
A computational system implemented exclusively through the spiking of neurons was recently shown capable of syntax, that is, of carrying out the dependency parsing of simple Englis…