Items where Author is "Marx, Alexander"

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Number of items: 12.

Marx, Alexander and Vreeken, Jilles
(2022) Formally Justifying MDL-based Inference of Cause and Effect.
In: AAAI Workshop on Information-Theoretic Causal Inference and Discovery (ITCI'22).
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Schmidt, Florian and Marx, Alexander and Baumgarten, Nina and Hebel, Marie and Wegner, Martin and Kaulich, Manuel and Leisegang, Matthias S and Brandes, Ralf P and Göke, Jonathan and Vreeken, Jilles and Schulz, Marcel H
(2021) Integrative analysis of epigenetics data identifies gene-specific regulatory elements.
Nucleic acids research.

Marx, Alexander and Gretton, Arthur and Mooij, Joris
(2021) A Weaker Faithfulness Assumption based on Triple Interactions.
In: Uncertainty in Artificial Intelligence.
Conference: UAI Conference in Uncertainty in Artificial Intelligence

Marx, Alexander and Yang, Lincen and van Leeuwen, Matthijs
(2021) Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms.
In: SDM.
Conference: SDM SIAM International Conference on Data Mining

Mian, Osman and Marx, Alexander and Vreeken, Jilles
(2021) Discovering Fully Oriented Causal Networks.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Marx, Alexander and Vreeken, Jilles
(2019) Identifiability of Cause and Effect using Regularized Regression.
In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Marx, Alexander and Vreeken, Jilles
(2019) Testing Conditional Independence on Discrete Data using Stochastic Complexity.
In: International Conference on Artificial Intelligence and Statistics (AISTATS).
Conference: AISTATS International Conference on Artificial Intelligence and Statistics

Marx, Alexander and Vreeken, Jilles
(2019) Approximating Algorithmic Conditional Independence for Discrete Data.
In: First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Marx, Alexander and Vreeken, Jilles
(2019) Telling Cause from Effect by Local and Global Regression.
Knowledge and Information Systems.
(In Press)

Marx, Alexander and Vreeken, Jilles
(2018) Stochastic Complexity for Testing Conditional Independence on Discrete Data.
In: NeurIPS 2018 Workshop on Causal Learning.
Conference: NeurIPS Conference on Neural Information Processing Systems

Marx, Alexander and Vreeken, Jilles
(2018) Causal Inference on Multivariate and Mixed Type Data.
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Marx, Alexander and Vreeken, Jilles
(2017) Telling Cause from Effect by MDL-based Local and Global Regression.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

This list was generated on Sat Dec 21 21:02:17 2024 CET.
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