Alexander Marx
Alexander Marx
PhD candidate at Max Planck Institute for Informatics, Saarland University
Verified email at - Homepage
Cited by
Cited by
EDISON-WMW: Exact Dynamic Programing Solution of the Wilcoxon–Mann–Whitney Test
A Marx, C Backes, E Meese, HP Lenhof, A Keller
Genomics, proteomics & bioinformatics 14 (1), 55-61, 2016
Telling Cause from Effect using MDL-based Local and Global Regression
A Marx, J Vreeken
2017 IEEE International Conference on Data Mining (ICDM), 307–316, 2017
Testing Conditional Independence on Discrete Data using Stochastic Complexity
A Marx, J Vreeken
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
Telling cause from effect by local and global regression
A Marx, J Vreeken
Knowledge and Information Systems 60 (3), 1277-1305, 2019
Causal Inference on Multivariate and Mixed-Type Data
A Marx, J Vreeken
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
Integrative analysis of epigenetics data identifies gene-specific regulatory elements
F Schmidt, A Marx, M Hebel, M Wegner, N Baumgarten, M Kaulich, ...
bioRxiv, 585125, 2019
Causal Discovery by Telling Apart Parents and Children
A Marx, J Vreeken
arXiv preprint arXiv:1808.06356, 2018
Identifiability of Cause and Effect using Regularized Regression
A Marx, J Vreeken
SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019
Approximating Algorithmic Conditional Independence for Discrete Data
A Marx, J Vreeken
First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals …, 2019
Stochastic Complexity for Testing Conditional Independence on Discrete Data
A Marx, J Vreeken
NeurIPS 2018 Workshop on Causal Learning, 2018
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