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Papers
Disentangling Interactions and Dependencies in Feature Attributions
AISTATS 2025
Adjust Pearson's r to Measure Arbitrary Monotone Dependence
NeurIPS 2024
PHSIC against Random Consistency and Its Application in Causal Inference
IJCAI 2024
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
COLING 2024
Beyond Normal: On the Evaluation of Mutual Information Estimators
NeurIPS 2023
Estimating Total Correlation with Mutual Information Estimators
AISTATS 2023
Differentially Private Maximal Information Coefficients
ICML 2022
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
Efficient Estimation of Mutual Information for Strongly Dependent Variables
AISTATS 2015
From Dependency to Causality: A Machine Learning Approach
JMLR 2015
Variational Bayesian Matching
ACML 2012
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
NeurIPS 2010
Kernel Measures of Conditional Dependence
NeurIPS 2007