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Invariant Causal Prediction for Sequential Data

25 June 2017

Niklas Pfister

Papers citing "Invariant Causal Prediction for Sequential Data"

34 / 34 papers shown

Title
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments Yaroslav Kivva S. Akbari Saber Salehkaleybar Negar Kiyavash CML 29 0 0 13 Jun 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 187 8 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 163 1 0 18 Feb 2025
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 107 1 0 02 Jul 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 309 2 0 07 May 2024
Invariant Subspace Decomposition Margherita Lazzaretto Jonas Peters Niklas Pfister 93 0 0 15 Apr 2024
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 148 14 0 22 Sep 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 123 1 0 29 Jul 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting Benjamin Q. Huynh M. Kiang AI4CE 62 0 0 28 Jul 2023
Discovering Causal Relations and Equations from Data 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 108 77 0 21 May 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 99 2 0 16 Apr 2023
Environment Invariant Linear Least Squares Jianqing Fan Cong Fang Yihong Gu Tong Zhang OOD 119 13 0 06 Mar 2023
Generalized Invariant Matching Property via LASSO Kang Du Yu Xiang OOD 105 6 0 14 Jan 2023
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 103 8 0 22 Aug 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 100 21 0 25 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 67 0 20 Jul 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 89 61 0 22 Mar 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 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 59 7 0 17 Nov 2021
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 126 18 0 24 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 168 536 0 31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 94 3 0 30 Aug 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021
Statistical Testing under Distributional Shifts Nikolaj Thams Sorawit Saengkyongam Niklas Pfister J. Peters OOD 124 10 0 22 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 113 90 0 12 May 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 157 322 0 22 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 113 110 0 11 Feb 2021
Causal Inference from Slowly Varying Nonstationary Processes Kang Du Yu Xiang 111 6 0 23 Dec 2020
Invariant Representation Learning for Treatment Effect Estimation Claudia Shi Victor Veitch David M. Blei OOD CML 57 31 0 24 Nov 2020
Dirichlet policies for reinforced factor portfolios Eric André Guillaume Coqueret 85 7 0 10 Nov 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 108 191 0 03 Jul 2020
Active Invariant Causal Prediction: Experiment Selection through Stability Juan L. Gamella C. Heinze-Deml OOD 61 46 0 10 Jun 2020
Orthogonal Structure Search for Efficient Causal Discovery from Observational Data Anant Raj Luigi Gresele M. Besserve Bernhard Schölkopf Stefan Bauer CML 29 0 0 06 Mar 2019
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables Rune Christiansen J. Peters CML 28 14 0 16 Aug 2018