Publications | Alex Markham

Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus (2023). Neuro-Causal Factor Analysis. arXiv:2305.19802 [stat.ML].

Danai Deligeorgaki, Alex Markham, Pratik Misra, Liam Solus (2022). Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks. arXiv:2210.00822 [stat.ME].

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Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus (2022). A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. 11th International Conference on Probabilistic Graphical Models (PGM).

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Alex Markham, Richeek Das, Moritz Grosse-Wentrup (2022). A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. Conference on Causal Learning and Reasoning (CLeaR).

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Jiachen Xu, Alex Markham, Anja Meunier, Philipp Raggam, Moritz Grosse-Wentrup (2021). Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing. 2021 IEEE International Conference on Systems, Man, And Cybernetics (SMC).

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Alex Markham, Aditya Chivukula, Moritz Grosse-Wentrup (2020). MeDIL: A Python Package for Causal Modelling. International Conference on Probabilistic Graphical Models (PGM).

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Alex Markham, Moritz Grosse-Wentrup (2020). Measurement Dependence Inducing Latent Causal Models. Conference on Uncertainty in Artificial Intelligence (UAI).

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