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1706.08058
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Invariant Causal Prediction for Sequential Data
25 June 2017
Niklas Pfister
Peter Buhlmann
J. Peters
OOD
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Papers citing
"Invariant Causal Prediction for Sequential Data"
50 / 58 papers shown
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu
Yixiong Zou
Jun Wang
Wei Liu
Xiangyu Fu
R. Li
OOD
224
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0
23 Oct 2025
Philosophy-informed Machine Learning
MZ Naser
AI4CE
135
0
0
18 Sep 2025
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yaroslav Kivva
S. Akbari
Saber Salehkaleybar
Negar Kiyavash
CML
323
2
0
13 Jun 2025
Bayesian Hierarchical Invariant Prediction
Francisco Madaleno
Pernille Julie Viuff Sand
Francisco C. Pereira
Sergio Hernan Garrido Mejia
419
2
0
16 May 2025
Multi-Domain Causal Discovery in Bijective Causal Models
CLEaR (CLEaR), 2025
Kasra Jalaldoust
Saber Salehkaleybar
Negar Kiyavash
CML
371
4
0
30 Apr 2025
Causal Identification in Time Series Models
CLEaR (CLEaR), 2025
Erik Jahn
Karthik Karnik
Leonard J. Schulman
CML
AI4TS
318
1
0
28 Apr 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
CML
548
12
0
13 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
520
1
0
18 Feb 2025
Causal Invariance Learning via Efficient Nonconvex Optimization
Zhenyu Wang
Yifan Hu
Peter Buhlmann
Zijian Guo
549
3
0
16 Dec 2024
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing
Minh Le Nguyen
Mert R. Sabuncu
239
2
0
19 Sep 2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang
Duxin Chen
Ziyuan Pu
Jianxi Gao
Wenwu Yu
CML
527
1
0
02 Jul 2024
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
Kulunu Dharmakeerthi
Y. Hur
Tengyuan Liang
302
0
0
22 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
386
1
0
17 Jun 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Annals of Statistics (Ann. Stat.), 2024
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OOD
CML
823
7
0
07 May 2024
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
Austin V. Goddard
Kang Du
Yu Xiang
195
1
0
23 Apr 2024
Invariant Subspace Decomposition
Margherita Lazzaretto
Jonas Peters
Niklas Pfister
282
1
0
15 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OOD
FaML
274
1
0
02 Apr 2024
Learning using granularity statistical invariants for classification
Tingting Zhu
Yifei Shao
Chunna Li
Tian Liu
66
3
0
29 Mar 2024
A Dynamical View of the Question of Why
Mehdi Fatemi
Sindhu Gowda
CML
309
0
0
14 Feb 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Web Search and Data Mining (WSDM), 2023
Yuan Gao
Xiang Wang
Xiangnan He
Zhenguang Liu
Huamin Feng
Yongdong Zhang
406
91
0
25 Jan 2024
Assumption violations in causal discovery and the robustness of score matching
Francesco Montagna
Atalanti A. Mastakouri
Elias Eulig
Nicoletta Noceti
Lorenzo Rosasco
Dominik Janzing
Bryon Aragam
Francesco Locatello
OOD
267
29
0
20 Oct 2023
Model-based causal feature selection for general response types
Journal of the American Statistical Association (JASA), 2023
Lucas Kook
Sorawit Saengkyongam
A. Lundborg
Torsten Hothorn
Jonas Peters
CML
OOD
495
9
0
22 Sep 2023
Invariant Learning via Probability of Sufficient and Necessary Causes
Neural Information Processing Systems (NeurIPS), 2023
Mengyue Yang
Zhen Fang
Yonggang Zhang
Yali Du
Furui Liu
Jean-François Ton
Jianhong Wang
Jun Wang
OODD
607
31
0
22 Sep 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable
Biometrika (Biometrika), 2023
Juraj Bodik
V. Chavez-Demoulin
CML
513
4
0
29 Jul 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
183
1
0
28 Jul 2023
Intervention Generalization: A View from Factor Graph Models
Neural Information Processing Systems (NeurIPS), 2023
Gecia Bravo Hermsdorff
David S. Watson
Jialin Yu
Jakob Zeitler
Ricardo M. A. Silva
CML
299
6
0
06 Jun 2023
Discovering Causal Relations and Equations from Data
Physics reports (Phys. Rep.), 2023
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
291
125
0
21 May 2023
Out-of-Variable Generalization for Discriminative Models
Siyuan Guo
J. Wildberger
Bernhard Schölkopf
OOD
CML
338
4
0
16 Apr 2023
Environment Invariant Linear Least Squares
Annals of Statistics (Ann. Stat.), 2023
Jianqing Fan
Cong Fang
Yihong Gu
Tong Zhang
OOD
378
21
0
06 Mar 2023
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
349
28
0
03 Mar 2023
Generalized Invariant Matching Property via LASSO
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Kang Du
Yu Xiang
OOD
323
6
0
14 Jan 2023
Granger causal inference on DAGs identifies genomic loci regulating transcription
International Conference on Learning Representations (ICLR), 2022
Rohit Singh
Alexander P. Wu
Bonnie Berger
CML
243
19
0
18 Oct 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
417
33
0
22 Aug 2022
Learning Invariant Representations under General Interventions on the Response
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Kang Du
Yu Xiang
OOD
464
8
0
22 Aug 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
European Conference on Computer Vision (ECCV), 2022
Jiaxin Qi
Kaihua Tang
Qianru Sun
Xiansheng Hua
Hanwang Zhang
359
12
0
06 Aug 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
European Conference on Computer Vision (ECCV), 2022
Tan Wang
Qianru Sun
Sugiri Pranata
J. Karlekar
Hanwang Zhang
SSL
325
25
0
25 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization
Neural Information Processing Systems (NeurIPS), 2022
Cian Eastwood
Avi Schwarzschild
Shashank Singh
Julius von Kügelgen
Hamed Hassani
George J. Pappas
Bernhard Schölkopf
OOD
427
87
0
20 Jul 2022
Causal Discovery using Model Invariance through Knockoff Interventions
Wasim Ahmad
M. Shadaydeh
Joachim Denzler
CML
210
7
0
08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
European Conference on Computer Vision (ECCV), 2022
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
309
35
0
06 Jul 2022
Out-of-distribution Generalization with Causal Invariant Transformations
Computer Vision and Pattern Recognition (CVPR), 2022
Ruoyu Wang
Mingyang Yi
Zhitang Chen
Shengyu Zhu
OOD
OODD
339
83
0
22 Mar 2022
Invariant Ancestry Search
International Conference on Machine Learning (ICML), 2022
Phillip B. Mogensen
Nikolaj Thams
J. Peters
305
6
0
02 Feb 2022
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Rui Hu
Jitao Sang
Jinqiang Wang
Rui Hu
Chaoquan Jiang
CML
OOD
238
7
0
17 Nov 2021
Optimization-based Causal Estimation from Heterogenous Environments
Journal of machine learning research (JMLR), 2021
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
437
21
0
24 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Tianyu Wang
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
625
664
0
31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
271
3
0
30 Aug 2021
Invariant Policy Learning: A Causal Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sorawit Saengkyongam
Nikolaj Thams
J. Peters
Niklas Pfister
CML
OffRL
635
22
0
01 Jun 2021
Statistical Testing under Distributional Shifts
Nikolaj Thams
Sorawit Saengkyongam
Niklas Pfister
J. Peters
OOD
479
11
0
22 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Computer Vision and Pattern Recognition (CVPR), 2021
Damien Teney
Ehsan Abbasnejad
Simon Lucey
Anton Van Den Hengel
511
107
0
12 May 2021
Scalable Causal Domain Adaptation
Mohammad Ali Javidian
O. Pandey
Pooyan Jamshidi
CML
459
6
0
27 Feb 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
426
352
0
22 Feb 2021
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