ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1304.7717
  4. Cited By
The Randomized Dependence Coefficient
v1v2 (latest)

The Randomized Dependence Coefficient

29 April 2013
David Lopez-Paz
Philipp Hennig
Bernhard Schölkopf
ArXiv (abs)PDFHTML

Papers citing "The Randomized Dependence Coefficient"

50 / 63 papers shown
Title
Sketched Sum-Product Networks for Joins
Sketched Sum-Product Networks for Joins
Brian Tsan
Abylay Amanbayev
Asoke Datta
Florin Rusu
29
0
0
16 Jun 2025
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
Tian Zeng
Junwei Lan
Jiahong Ma
Wenqing Wei
Rong Zhu
Pengfei Li
Bolin Ding
Defu Lian
Zhewei Wei
Jingren Zhou
80
5
0
03 Jun 2024
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a
  Gradient Based Learning
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
Vincent Grari
Marcin Detyniecki
71
0
0
16 Apr 2024
Offline Risk-sensitive RL with Partial Observability to Enhance
  Performance in Human-Robot Teaming
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
Giorgio Angelotti
Caroline Ponzoni Carvalho Chanel
Adam H. M. Pinto
Christophe Lounis
C. Chauffaut
Nicolas Drougard
OffRL
29
2
0
08 Feb 2024
Characteristic Circuits
Characteristic Circuits
Zhongjie Yu
Martin Trapp
Kristian Kersting
TPM
70
5
0
12 Dec 2023
Scardina: Scalable Join Cardinality Estimation by Multiple Density
  Estimators
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators
Ryuichi Ito
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
46
0
0
31 Mar 2023
Scalable Infomin Learning
Scalable Infomin Learning
Yanzhi Chen
Wei-Der Sun
Yingzhen Li
Adrian Weller
107
8
0
21 Feb 2023
Augmenting data-driven models for energy systems through feature
  engineering: A Python framework for feature engineering
Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering
Sandra Wilfling
26
1
0
04 Jan 2023
A survey of some recent developments in measures of association
A survey of some recent developments in measures of association
S. Chatterjee
59
16
0
09 Nov 2022
Asymmetric predictability in causal discovery: an information theoretic
  approach
Asymmetric predictability in causal discovery: an information theoretic approach
S. Purkayastha
Peter X.-K. Song
33
0
0
26 Oct 2022
Certified Data Removal in Sum-Product Networks
Certified Data Removal in Sum-Product Networks
Alexander Becker
Thomas Liebig
MU
81
1
0
04 Oct 2022
Outlier Explanation via Sum-Product Networks
Outlier Explanation via Sum-Product Networks
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
TPMLRM
16
0
0
18 Jul 2022
Differentially Private Maximal Information Coefficients
Differentially Private Maximal Information Coefficients
John Lazarsfeld
Aaron Johnson
Emmanuel Adéníran
26
3
0
21 Jun 2022
A Fair Pricing Model via Adversarial Learning
A Fair Pricing Model via Adversarial Learning
Vincent Grari
Arthur Charpentier
Marcin Detyniecki
80
14
0
24 Feb 2022
Quantifying directed dependence via dimension reduction
Quantifying directed dependence via dimension reduction
Sebastian Fuchs
96
21
0
19 Dec 2021
Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query
  Size
Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size
Rong Zhu
Tian Zeng
A. Pfadler
Wei Chen
Bolin Ding
Jingren Zhou
52
3
0
07 Dec 2021
Improving Conditional Coverage via Orthogonal Quantile Regression
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman
Stephen Bates
Yaniv Romano
121
43
0
01 Jun 2021
Measuring Dependence with Matrix-based Entropy Functional
Measuring Dependence with Matrix-based Entropy Functional
Shujian Yu
Francesco Alesiani
Xi Yu
Robert Jenssen
José C. Príncipe
57
24
0
25 Jan 2021
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
Ziniu Wu
Amir Shaikhha
Rong Zhu
Kai Zeng
Yuxing Han
Jingren Zhou
BDL
57
27
0
29 Dec 2020
Are We Ready For Learned Cardinality Estimation?
Are We Ready For Learned Cardinality Estimation?
Xiaoying Wang
Changbo Qu
Weiyuan Wu
Jiannan Wang
Qingqing Zhou
63
117
0
12 Dec 2020
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
Rong Zhu
Ziniu Wu
Yuxing Han
Kai Zeng
A. Pfadler
Zhengping Qian
Jingren Zhou
Tengjiao Wang
114
91
0
18 Nov 2020
FSPN: A New Class of Probabilistic Graphical Model
FSPN: A New Class of Probabilistic Graphical Model
Ziniu Wu
Rong Zhu
A. Pfadler
Yuxing Han
Jiangneng Li
Zhengping Qian
K. Zeng
Jingren Zhou
TPM
57
11
0
18 Nov 2020
Learning Unbiased Representations via Rényi Minimization
Learning Unbiased Representations via Rényi Minimization
Vincent Grari
Oualid El Hajouji
Sylvain Lamprier
Marcin Detyniecki
FaML
63
21
0
07 Sep 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine
  Learning Models
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar
Gunnar Konig
J. Herbinger
Timo Freiesleben
Susanne Dandl
Christian A. Scholbeck
Giuseppe Casalicchio
Moritz Grosse-Wentrup
B. Bischl
FAttAI4CE
85
140
0
08 Jul 2020
Fairness-Aware Neural Réyni Minimization for Continuous Features
Fairness-Aware Neural Réyni Minimization for Continuous Features
Vincent Grari
Boris Ruf
Sylvain Lamprier
Marcin Detyniecki
53
29
0
12 Nov 2019
ORCCA: Optimal Randomized Canonical Correlation Analysis
ORCCA: Optimal Randomized Canonical Correlation Analysis
Yinsong Wang
Shahin Shahrampour
103
5
0
11 Oct 2019
A new coefficient of correlation
A new coefficient of correlation
S. Chatterjee
120
259
0
23 Sep 2019
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a
  Marketing Machine Learning Platform
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
Zhenyu Zhao
Radhika Anand
Mallory Wang
41
165
0
15 Aug 2019
Conditional Independence Testing using Generative Adversarial Networks
Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot
M. Schaar
CMLGAN
101
52
0
09 Jul 2019
On Sampling Random Features From Empirical Leverage Scores:
  Implementation and Theoretical Guarantees
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees
Shahin Shahrampour
Soheil Kolouri
51
10
0
20 Mar 2019
Monte Carlo Dependency Estimation
Monte Carlo Dependency Estimation
Edouard Fouché
Klemens Böhm
33
4
0
04 Oct 2018
Multivariate Extension of Matrix-based Renyi's α-order Entropy
  Functional
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional
Shujian Yu
L. S. Giraldo
Robert Jenssen
José C. Príncipe
77
30
0
23 Aug 2018
Automatic Bayesian Density Analysis
Automatic Bayesian Density Analysis
Antonio Vergari
Alejandro Molina
Robert Peharz
Zoubin Ghahramani
Kristian Kersting
Isabel Valera
53
35
0
24 Jul 2018
On the Effect of Suboptimal Estimation of Mutual Information in Feature
  Selection and Classification
On the Effect of Suboptimal Estimation of Mutual Information in Feature Selection and Classification
Kiran Karra
L. Mili
15
1
0
30 Apr 2018
Understanding Convolutional Neural Networks with Information Theory: An
  Initial Exploration
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
Shujian Yu
Kristoffer Wickstrøm
Robert Jenssen
José C. Príncipe
106
77
0
18 Apr 2018
Sum-Product Networks for Hybrid Domains
Sum-Product Networks for Hybrid Domains
Alejandro Molina
Antonio Vergari
Nicola Di Mauro
Sriraam Natarajan
F. Esposito
Kristian Kersting
TPM
38
0
0
09 Oct 2017
From Review to Rating: Exploring Dependency Measures for Text
  Classification
From Review to Rating: Exploring Dependency Measures for Text Classification
Sam Cunningham-Nelson
Mahsa Baktash
W. Boles
28
1
0
04 Sep 2017
Multivariate Dependency Measure based on Copula and Gaussian Kernel
Angshuman Roy
A. Goswami
C. A. Murthy
46
1
0
24 Aug 2017
Stochastic Configuration Networks Ensemble for Large-Scale Data
  Analytics
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics
Dianhui Wang
Caihao Cui
BDL
80
113
0
02 Jul 2017
Copula Index for Detecting Dependence and Monotonicity between
  Stochastic Signals
Copula Index for Detecting Dependence and Monotonicity between Stochastic Signals
Kiran Karra
L. Mili
30
8
0
20 Mar 2017
Approximate Kernel-based Conditional Independence Tests for Fast
  Non-Parametric Causal Discovery
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Eric V. Strobl
Kun Zhang
Shyam Visweswaran
BDL
79
178
0
13 Feb 2017
A Copula Statistic for Measuring Nonlinear Multivariate Dependence
A Copula Statistic for Measuring Nonlinear Multivariate Dependence
M. B. Hassine
L. Mili
Kiran Karra
19
4
0
21 Dec 2016
Detecting Dependencies in Sparse, Multivariate Databases Using
  Probabilistic Programming and Non-parametric Bayes
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
Feras A. Saad
Vikash K. Mansinghka
60
14
0
05 Nov 2016
Exploring and measuring non-linear correlations: Copulas, Lightspeed
  Transportation and Clustering
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering
Gautier Marti
Sébastien Andler
Frank Nielsen
Philippe Donnat
72
8
0
30 Oct 2016
An Adaptive Test of Independence with Analytic Kernel Embeddings
An Adaptive Test of Independence with Analytic Kernel Embeddings
Wittawat Jitkrittum
Z. Szabó
Arthur Gretton
115
47
0
15 Oct 2016
From Dependence to Causation
From Dependence to Causation
David Lopez-Paz
OODCML
179
26
0
12 Jul 2016
Large-Scale Kernel Methods for Independence Testing
Large-Scale Kernel Methods for Independence Testing
Qinyi Zhang
Sarah Filippi
Arthur Gretton
Dino Sejdinovic
124
133
0
25 Jun 2016
Network Maximal Correlation
Network Maximal Correlation
Soheil Feizi
A. Makhdoumi
K. Duffy
Muriel Médard
Manolis Kellis
50
12
0
15 Jun 2016
Kernel Distribution Embeddings: Universal Kernels, Characteristic
  Kernels and Kernel Metrics on Distributions
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
84
93
0
18 Apr 2016
On Column Selection in Approximate Kernel Canonical Correlation Analysis
On Column Selection in Approximate Kernel Canonical Correlation Analysis
Weiran Wang
17
5
0
05 Feb 2016
12
Next