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Hierarchical and Density-based Causal Clustering

Hierarchical and Density-based Causal Clustering

2 November 2024
Kwangho Kim
Jisu Kim
Larry A. Wasserman
Edward H. Kennedy
    CML
ArXiv (abs)PDFHTML

Papers citing "Hierarchical and Density-based Causal Clustering"

7 / 7 papers shown
Title
A framework for causal segmentation analysis with machine learning in
  large-scale digital experiments
A framework for causal segmentation analysis with machine learning in large-scale digital experiments
N. Hejazi
Wenjing Zheng
Sathyanarayan Anand
CML
39
3
0
01 Nov 2021
Discovering Reliable Causal Rules
Discovering Reliable Causal Rules
Kailash Budhathoki
Mario Boley
Jilles Vreeken
CML
36
9
0
06 Sep 2020
Stable discovery of interpretable subgroups via calibration in causal
  studies
Stable discovery of interpretable subgroups via calibration in causal studies
Raaz Dwivedi
Yan Shuo Tan
Briton Park
Mian Wei
Kevin Horgan
D. Madigan
Bin Yu
CML
42
30
0
23 Aug 2020
Towards optimal doubly robust estimation of heterogeneous causal effects
Towards optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
CML
168
326
0
29 Apr 2020
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to
  Intrinsic Volume Dimension
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
Jisu Kim
Jaehyeok Shin
Alessandro Rinaldo
Larry A. Wasserman
75
32
0
13 Oct 2018
Confidence sets for persistence diagrams
Confidence sets for persistence diagrams
Brittany Terese Fasy
F. Lecci
Alessandro Rinaldo
Larry A. Wasserman
Sivaraman Balakrishnan
Aarti Singh
67
300
0
28 Mar 2013
Active Clustering: Robust and Efficient Hierarchical Clustering using
  Adaptively Selected Similarities
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson
Gautam Dasarathy
Aarti Singh
Robert D. Nowak
90
72
0
18 Feb 2011
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