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On Learning Necessary and Sufficient Causal Graphs

On Learning Necessary and Sufficient Causal Graphs

29 January 2023
Hengrui Cai
Yixin Wang
Michael Jordan
Rui Song
    CML
ArXivPDFHTML

Papers citing "On Learning Necessary and Sufficient Causal Graphs"

10 / 10 papers shown
Title
Image Quality Assessment: Investigating Causal Perceptual Effects with
  Abductive Counterfactual Inference
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Wenhao Shen
Mingliang Zhou
Yu Chen
Xuekai Wei
Jun Luo
Huayan Pu
Weijia Jia
CML
84
0
0
22 Dec 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal
  Representation Learning
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
Boyu Chen
Junjie Liu
Zhu Li
Mengyue yang
25
1
0
29 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution
  via Probability of Necessity and Sufficiency
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
44
0
0
21 Jul 2024
Local Causal Discovery for Structural Evidence of Direct Discrimination
Local Causal Discovery for Structural Evidence of Direct Discrimination
Jacqueline R. M. A. Maasch
Kyra Gan
Violet Chen
Agni Orfanoudaki
Nil-Jana Akpinar
Fei Wang
32
0
0
23 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image
  Quality Assessment
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
Lei Wang
Desen Yuan
AAML
OOD
25
1
0
30 Apr 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via
  Probability of Necessity and Sufficiency
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
19
2
0
14 Feb 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around
  Exposure-Outcome Pairs
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
Jacqueline R. M. A. Maasch
Weishen Pan
Shantanu Gupta
Volodymyr Kuleshov
Kyra Gan
Fei Wang
18
5
0
25 Oct 2023
Towards Trustworthy Explanation: On Causal Rationalization
Towards Trustworthy Explanation: On Causal Rationalization
Wenbo Zhang
Tong Wu
Yunlong Wang
Yong Cai
Hengrui Cai
CML
16
18
0
25 Jun 2023
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
109
258
0
29 Sep 2019
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
435
0
20 Feb 2013
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