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Invariant Causal Prediction for Sequential Data

Invariant Causal Prediction for Sequential Data

Niklas Pfister
Peter Buhlmann
J. Peters
    OOD
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Papers citing "Invariant Causal Prediction for Sequential Data"

8 / 8 papers shown
Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
CML
108
8
0
13 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
112
1
0
18 Feb 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OOD
CML
179
2
0
07 May 2024
Invariant Subspace Decomposition
Invariant Subspace Decomposition
Margherita Lazzaretto
Jonas Peters
Niklas Pfister
49
0
0
15 Apr 2024
Structural restrictions in local causal discovery: identifying direct causes of a target variable
Structural restrictions in local causal discovery: identifying direct causes of a target variable
Juraj Bodik
V. Chavez-Demoulin
CML
52
1
0
29 Jul 2023
Goodness of fit tests for high-dimensional linear models
Goodness of fit tests for high-dimensional linear models
Rajen Dinesh Shah
Peter Buhlmann
50
46
0
10 Nov 2015
Causal inference using invariant prediction: identification and confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
82
961
0
06 Jan 2015
Causal Discovery with Continuous Additive Noise Models
Causal Discovery with Continuous Additive Noise Models
Jonas Peters
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
CML
75
563
0
26 Sep 2013