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The Randomized Dependence Coefficient

29 April 2013

Papers citing "The Randomized Dependence Coefficient"

50 / 63 papers shown

Title
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 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 Vincent Grari Marcin Detyniecki 71 0 0 16 Apr 2024
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 Zhongjie Yu Martin Trapp Kristian Kersting TPM 70 5 0 12 Dec 2023
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 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 Sandra Wilfling 26 1 0 04 Jan 2023
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 S. Purkayastha Peter X.-K. Song 33 0 0 26 Oct 2022
Certified Data Removal in Sum-Product Networks Alexander Becker Thomas Liebig MU 81 1 0 04 Oct 2022
Outlier Explanation via Sum-Product Networks Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt TPM LRM 16 0 0 18 Jul 2022
Differentially Private Maximal Information Coefficients John Lazarsfeld Aaron Johnson Emmanuel Adéníran 26 3 0 21 Jun 2022
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 Sebastian Fuchs 96 21 0 19 Dec 2021
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 Shai Feldman Stephen Bates Yaniv Romano 121 43 0 01 Jun 2021
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 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? 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 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 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 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 Christoph Molnar Gunnar Konig J. Herbinger Timo Freiesleben Susanne Dandl Christian A. Scholbeck Giuseppe Casalicchio Moritz Grosse-Wentrup B. Bischl FAtt AI4CE 85 140 0 08 Jul 2020
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 Yinsong Wang Shahin Shahrampour 103 5 0 11 Oct 2019
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 Zhenyu Zhao Radhika Anand Mallory Wang 41 165 0 15 Aug 2019
Conditional Independence Testing using Generative Adversarial Networks Alexis Bellot M. Schaar CML GAN 101 52 0 09 Jul 2019
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 Edouard Fouché Klemens Böhm 33 4 0 04 Oct 2018
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 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 Kiran Karra L. Mili 15 1 0 30 Apr 2018
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 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 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 Dianhui Wang Caihao Cui BDL 80 113 0 02 Jul 2017
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 Eric V. Strobl Kun Zhang Shyam Visweswaran BDL 79 178 0 13 Feb 2017
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 Feras A. Saad Vikash K. Mansinghka 60 14 0 05 Nov 2016
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 Wittawat Jitkrittum Z. Szabó Arthur Gretton 115 47 0 15 Oct 2016
From Dependence to Causation David Lopez-Paz OOD CML 179 26 0 12 Jul 2016
Large-Scale Kernel Methods for Independence Testing Qinyi Zhang Sarah Filippi Arthur Gretton Dino Sejdinovic 124 133 0 25 Jun 2016
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 Carl-Johann Simon-Gabriel Bernhard Schölkopf 84 93 0 18 Apr 2016
On Column Selection in Approximate Kernel Canonical Correlation Analysis Weiran Wang 17 5 0 05 Feb 2016