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06/19/2023
Beyond Normal: On the Evaluation of Mutual Information Estimators
Mutual information is a general statistical dependency measure which has...
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03/16/2023
Identifiability Results for Multimodal Contrastive Learning
Contrastive learning is a cornerstone underlying recent progress in mult...
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10/13/2022
On the Identifiability and Estimation of Causal Location-Scale Noise Models
We study the class of location-scale or heteroscedastic noise models (LS...
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10/26/2021
Estimating Mutual Information via Geodesic kNN
Estimating mutual information (MI) between two continuous random variabl...
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05/05/2021
Formally Justifying MDL-based Inference of Cause and Effect
The algorithmic independence of conditionals, which postulates that the ...
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01/13/2021
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
Estimating conditional mutual information (CMI) is an essential yet chal...
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10/27/2020
A Weaker Faithfulness Assumption based on Triple Interactions
One of the core assumptions in causal discovery is the faithfulness assu...
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03/12/2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity
Testing for conditional independence is a core aspect of constraint-base...
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08/20/2018
Causal Discovery by Telling Apart Parents and Children
We consider the problem of inferring the directed, causal graph from obs...
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09/26/2017
Telling Cause from Effect using MDL-based Local and Global Regression
We consider the fundamental problem of inferring the causal direction be...
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02/21/2017
