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A Survey of Learning Causality with Data: Problems and Methods

A Survey of Learning Causality with Data: Problems and Methods

25 September 2018
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
    CML
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Papers citing "A Survey of Learning Causality with Data: Problems and Methods"

18 / 18 papers shown
Title
CURLS: Causal Rule Learning for Subgroups with Significant Treatment
  Effect
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou
Linxiao Yang
Xingyu Liu
Xinyue Gu
L. Sun
Wei Chen
CML
34
0
0
01 Jul 2024
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Y. Li
CML
19
5
0
23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
26
11
0
07 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation
Neural Causal Models for Counterfactual Identification and Estimation
K. Xia
Yushu Pan
Elias Bareinboim
CML
39
31
0
30 Sep 2022
Moderately-Balanced Representation Learning for Treatment Effects with
  Orthogonality Information
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information
Yiyan Huang
Cheuk Hang Leung
Shumin Ma
Qi Wu
DongDong Wang
Zhixiang Huang
OOD
CML
14
3
0
05 Sep 2022
When to intervene? Prescriptive Process Monitoring Under Uncertainty and
  Resource Constraints
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints
Mahmoud Shoush
Marlon Dumas
25
12
0
15 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social
  Scientists
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
M. Vowels
CML
24
2
0
10 Jun 2022
Generalized Causal Tree for Uplift Modeling
Generalized Causal Tree for Uplift Modeling
Preetam Nandy
Xiufan Yu
Wanjun Liu
Ye Tu
Kinjal Basu
S. Chatterjee
CML
11
3
0
04 Feb 2022
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Haonan Chen
B. Chang
Mohamed A. Naiel1
Georges Younes
Steven Wardell
Stan Kleinikkink
J. S. Z. U. O. Waterloo
CML
BDL
AI4TS
17
1
0
09 Jan 2022
Effects of Multi-Aspect Online Reviews with Unobserved Confounders:
  Estimation and Implication
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
Lu Cheng
Ruocheng Guo
K. S. Candan
Huan Liu
CML
11
6
0
04 Oct 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
31
64
0
02 Jul 2021
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
22
8
0
23 Apr 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
ELM
XAI
11
212
0
09 Mar 2020
Causality-based Feature Selection: Methods and Evaluations
Causality-based Feature Selection: Methods and Evaluations
Kui Yu
Xianjie Guo
Lin Liu
Jiuyong Li
Hao Wang
Zhaolong Ling
Xindong Wu
CML
16
92
0
17 Nov 2019
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
215
719
0
12 May 2016
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
434
0
20 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs
A Discovery Algorithm for Directed Cyclic Graphs
Thomas S. Richardson
CML
78
193
0
13 Feb 2013
Causality and Statistical Learning
Causality and Statistical Learning
Andrew Gelman
CML
AI4CE
63
70
0
12 Mar 2010
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