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05/31/2023
Neuro-Causal Factor Analysis
Factor analysis (FA) is a statistical tool for studying how observed var...
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10/03/2022
Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks
We consider the problem of estimating the marginal independence structur...
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09/15/2022
On the Edges of Characteristic Imset Polytopes
The edges of the characteristic imset polytope, CIM_p, were recently sho...
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09/05/2022
Toric Ideals of Characteristic Imsets via Quasi-Independence Gluing
Characteristic imsets are 0-1 vectors which correspond to Markov equival...
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03/01/2022
Causal Structure Learning with Greedy Unconditional Equivalence Search
We consider the problem of characterizing directed acyclic graph (DAG) m...
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05/12/2021
A new characterization of discrete decomposable models
Decomposable graphical models, also known as perfect DAG models, play a ...
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03/05/2021
Greedy Causal Discovery is Geometric
Finding a directed acyclic graph (DAG) that best encodes the conditional...
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01/22/2021
Representation and Learning of Context-Specific Causal Models with Observational and Interventional Data
We consider the problem of representation and learning of causal models ...
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12/07/2020
Algebraic geometry of discrete interventional models
We investigate the algebra and geometry of general interventions in disc...
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11/22/2019
Interventional Markov Equivalence for Mixed Graph Models
We study the problem of characterizing Markov equivalence of graphical m...
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02/20/2018