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Causal inference using invariant prediction: identification and confidence intervals

6 January 2015

Papers citing "Causal inference using invariant prediction: identification and confidence intervals"

50 / 493 papers shown

Title
Causal Optimal Transport of Abstractions Yorgos Felekis Fabio Massimo Zennaro Nicola Branchini Theodoros Damoulas CML OT 70 8 0 13 Dec 2023
Invariant Representation via Decoupling Style and Spurious Features from Images Ruimeng Li Yuanhao Pu Zhaoyi Li Hong Xie Defu Lian OOD 90 1 0 11 Dec 2023
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 145 3 0 06 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 111 1 0 30 Nov 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 156 8 0 29 Nov 2023
Machine-Guided Discovery of a Real-World Rogue Wave Model Dion Häfner Johannes Gemmrich Markus Jochum AI4CE 39 10 0 21 Nov 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 97 6 0 12 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 115 35 0 02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 74 2 0 02 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 64 1 0 01 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 101 41 0 29 Oct 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 100 4 0 28 Oct 2023
Assessing the overall and partial causal well-specification of nonlinear additive noise models Christoph Schultheiss Peter Bühlmann CML 100 1 0 25 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 59 2 0 24 Oct 2023
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 96 20 0 22 Oct 2023
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 74 1 0 21 Oct 2023
Specify Robust Causal Representation from Mixed Observations Mengyue Yang Xin-Qiang Cai Furui Liu Weinan Zhang Jun Wang CML OOD 108 7 0 21 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi Suchi Saria David M. Blei OOD CML 84 9 0 19 Oct 2023
Boosted Control Functions Nicola Gnecco Jonas Peters Sebastian Engelke Niklas Pfister 64 2 0 09 Oct 2023
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning Chengpeng Li Zheng Yuan Hongyi Yuan Guanting Dong Keming Lu Jiancan Wu Chuanqi Tan Xiang Wang Chang Zhou LRM 89 27 0 09 Oct 2023
Continuous Invariance Learning Yong Lin Fan Zhou Lu Tan Lintao Ma Jiameng Liu ... Yuan Yuan Yu Liu James Y. Zhang Yujiu Yang Hao Wang CLL OOD 73 4 0 09 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 95 11 0 04 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization Yong Lin Lu Tan Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang OODD 91 27 0 29 Sep 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 82 19 0 28 Sep 2023
Era Splitting -- Invariant Learning for Decision Trees Timothy DeLise CML OOD 40 0 0 25 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 73 1 0 23 Sep 2023
Model-based causal feature selection for general response types Lucas Kook Sorawit Saengkyongam A. Lundborg Torsten Hothorn Jonas Peters CML OOD 61 4 0 22 Sep 2023
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 108 13 0 22 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 84 0 0 21 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 68 2 0 19 Sep 2023
Invariant Probabilistic Prediction Alexander Henzi Xinwei Shen Michael Law Peter Bühlmann OOD 116 0 0 18 Sep 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 58 0 0 18 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 78 29 0 14 Sep 2023
Domain Generalization without Excess Empirical Risk Ozan Sener V. Koltun 69 9 0 30 Aug 2023
Finding emergence in data by maximizing effective information Mingzhe Yang Zhipeng Wang Kaiwei Liu Ying Rong Bing Yuan Jiang Zhang CML 40 6 0 19 Aug 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance Ivan Ovinnikov J. M. Buhmann CML 71 0 0 17 Aug 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang Keng-Te Liao Chang-Sheng Kao Shou-De Lin OOD 60 5 0 17 Aug 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series Anpeng Wu Haoxuan Li Kun Kuang Ke Zhang Leilei Gan CML 107 2 0 16 Aug 2023
Nonlinear Permuted Granger Causality Noah D. Gade J. Rodu CML 56 0 0 11 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 85 12 0 09 Aug 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 112 1 0 29 Jul 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting Benjamin Q. Huynh M. Kiang AI4CE 57 0 0 28 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 114 9 0 24 Jul 2023
Out-of-Distribution Optimality of Invariant Risk Minimization S. Toyota Kenji Fukumizu OOD 79 1 0 22 Jul 2023
Contextual Reliability: When Different Features Matter in Different Contexts Gaurav R. Ghosal Amrith Rajagopal Setlur Daniel S. Brown Anca Dragan Aditi Raghunathan 69 1 0 19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Cian Eastwood Shashank Singh Andrei Liviu Nicolicioiu Marin Vlastelica Julius von Kügelgen Bernhard Schölkopf OOD 113 20 0 19 Jul 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 129 9 0 18 Jul 2023
Results on Counterfactual Invariance Jake Fawkes R. Evans 41 4 0 17 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin Zechao Li Luning Wang Yongxiang Huang FedML OOD AI4CE 83 3 0 13 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 89 7 0 02 Jul 2023