mlsanityData to 7 Oct 2026

The Randomized Dependence Coefficient

arXiv 1304.7717 ↗First posted 29 Apr 2013stat.MLcited by 24

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Abstract (arXiv)

We introduce the Randomized Dependence Coefficient (RDC), a measure of non-linear dependence between random variables of arbitrary dimension based on the Hirschfeld-Gebelein-R'enyi Maximum Correlation Coefficient. RDC is defined in terms of correlation of random non-linear copula projections; it is invariant with respect to marginal distribution transformations, has low computational cost and is easy to implement: just five lines of R code, included at the end of the paper.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2013.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 5; 2023: 5; 2024: 3; 2025: 2; 2026: 6.

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  1. 2021Improving Conditional Coverage via Orthogonal Quantile Regressioncited by 48
  2. 2021Measuring Dependence with Matrix-based Entropy Functionalcited by 19
  3. 2023Scalable Infomin Learningcited by 8
  4. 2023Characteristic Circuitscited by 8
  5. 2024PRICE: A Pretrained Model for Cross-Database Cardinality Estimationcited by 8
  6. 2022A Fair Pricing Model via Adversarial Learningcited by 7
  7. 2022A survey of some recent developments in measures of associationcited by 3
  8. 2021Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Sizecited by 2
  9. 2022Certified Data Removal in Sum-Product Networkscited by 2
  10. 2023Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineeringcited by 1
  11. 2022Differentially Private Maximal Information Coefficientscited by 0
  12. 2022Outlier Explanation via Sum-Product Networkscited by 0
12 more
  1. 2023Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimatorscited by 0
  2. 2023A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rulescited by 0
  3. 2024Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teamingcited by 0
  4. 2024OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learningcited by 0
  5. 2025Sketched Sum-Product Networks for Joinscited by 0
  6. 2025Robust Non-Linear Correlations via Polynomial Regressioncited by 0
  7. 2026Fast Flow Matching based Conditional Independence Tests for Causal Discoverycited by 0
  8. 2026Kernel Integrated R2: A Measure of Dependencecited by 0
  9. 2026Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representationscited by 0
  10. 2026KGroups: A Versatile Univariate Max-Relevance Min-Redundancy Feature Selection Algorithm for High-dimensional Biological Datacited by 0
  11. 2026Unsupervised Causal Abstractions Discoverycited by 0
  12. 2026Conditional Inference Trees and Forests for Feature Selectioncited by 0