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2007.02809
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Meta Learning for Causal Direction
6 July 2020
Jean-François Ton
Dino Sejdinovic
Kenji Fukumizu
CML
OOD
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Papers citing
"Meta Learning for Causal Direction"
12 / 12 papers shown
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
Emam Hossain
Muhammad Hasan Ferdous
Devon Dunmire
Aneesh Subramanian
Md. Osman Gani
OOD
CML
191
0
0
17 Oct 2025
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
Neural Information Processing Systems (NeurIPS), 2024
Yun Xu
Huabin Liu
Tianyao He
Yihang Chen
Chaofan Gan
...
Cheng Zhong
Yang Zhang
Yingxue Wang
Hui Lin
Weiyao Lin
VGen
CML
516
23
0
26 Sep 2024
Learning to Embed Distributions via Maximum Kernel Entropy
Neural Information Processing Systems (NeurIPS), 2024
Oleksii Kachaiev
Stefano Recanatesi
OOD
328
2
0
01 Aug 2024
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
Andreas Sauter
N. Botteghi
Erman Acar
Aske Plaat
CML
356
8
0
30 Jan 2024
Hacking Task Confounder in Meta-Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Wenwen Qiang
Yi Ren
Changwen Zheng
Xingzhe Su
Changwen Zheng
Jingyao Wang
CML
644
9
0
10 Dec 2023
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
Conference on Algebraic Informatics (CAI), 2023
Haowen Wang
Xinyan Ye
Yangze Zhou
Zhiyi Zhang
L. Zhang
Jing Jiang
CML
164
0
0
14 Nov 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
Machine-mediated learning (ML), 2023
Tomoharu Iwata
Yoichi Chikahara
CML
FedML
309
3
0
19 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TS
CML
455
65
0
17 Mar 2023
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects
Guanglin Zhou
Lina Yao
Xiwei Xu
Chen Wang
Liming Zhu
OOD
CML
BDL
160
2
0
13 Aug 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery
CLEaR (CLEaR), 2022
Andreas Sauter
Erman Acar
Vincent François-Lavet
CML
311
21
0
18 Jul 2022
A Meta Learning Approach to Discerning Causal Graph Structure
Justin Wong
Dominik Damjakob
CML
73
2
0
06 Jun 2021
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jean-François Ton
Lucian Chan
Yee Whye Teh
Dino Sejdinovic
147
13
0
05 Jun 2019
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