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The smog of exercise: the causal effect of air pollution on fitness behaviors [PDF]
Frontiers in Public HealthWith the rapid development of industrialization and urbanization in China, air pollution has become an increasingly serious problem, and people are increasingly concerned about its impact on personal physical and mental health.
Wen Cao +4 more
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Identifying Causal Subsequent Memory Effects [PDF]
Proceedings of the National Academy of Sciences, 2021 AbstractOver 40 years of accumulated research has detailed associations between neuroimaging signals measured during a memory encoding task and later memory performance, across a variety of brain regions, measurement tools, statistical approaches and behavioral tasks.
David J. Halpern +3 more
openaire +2 more sources
Distilling Causal Effect of Data in Class-Incremental Learning [PDF]
Computer Vision and Pattern Recognition, 2021 We propose a causal framework to explain the catastrophic forgetting in Class-Incremental Learning (CIL) and then derive a novel distillation method that is orthogonal to the existing anti-forgetting techniques, such as data replay and feature/label ...
Xinting Hu +4 more
semanticscholar +1 more source
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey [PDF]
ACM Computing Surveys, 2022 In many fields of scientific research and real-world applications, unbiased estimation of causal effects from non-experimental data is crucial for understanding the mechanism underlying the data and for decision-making on effective responses or ...
Debo Cheng +4 more
semanticscholar +1 more source
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction [PDF]
Conference on Computational Natural Language Learning, 2021 When language models process syntactically complex sentences, do they use their representations of syntax in a manner that is consistent with the grammar of the language? We propose AlterRep, an intervention-based method to address this question. For any
Shauli Ravfogel +3 more
semanticscholar +1 more source
Learning high-dimensional causal effect [PDF]
arXiv.org, 2023 The scarcity of high-dimensional causal inference datasets restricts the exploration of complex deep models. In this work, we propose a method to generate a synthetic causal dataset that is high-dimensional.
Aayush Agarwal, Saksham Bassi
semanticscholar +1 more source
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters [PDF]
INFORMS Journal on Data Science, 2021 Causal decision making (CDM) at scale has become a routine part of business, and increasingly, CDM is based on statistical models and machine learning algorithms.
Carlos Fernández-Loría, F. Provost
semanticscholar +1 more source
Applying the adjustment set to estimate causal effect of data based on the causal graph model
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the five limitations of the PROC CAUSALGRAPH procedure and estimate the causal effect of the data by using the adjustment set based on the causal graph model.
Hu Chunyan, Hu Liangping
doaj +1 more source
Causal effective field theories
Physical Review D, 2022 Physical principles such as unitarity, causality, and locality can constrain the space of consistent effective field theories (EFTs) by imposing two-sided bounds on the allowed values of Wilson coefficients. In this paper, we consider the bounds that arise from the requirement of low-energy causality alone, without appealing to any assumptions about UV
Mariana Carrillo González +3 more
openaire +4 more sources
Enhanced causal effect of ecosystem photosynthesis on respiration during heatwaves
Science Advances, 2023 Because of global warming, Earth’s ecosystems have been experiencing more frequent and severe heatwaves. Heatwaves are expected to tip terrestrial carbon sequestration by elevating ecosystem respiration and suppressing gross primary productivity (GPP ...
Jiaye Ping +8 more
semanticscholar +1 more source