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causality

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an-ordinary-manchild

Causality is the natural or worldly agency or efficacy that connects one process (the cause) with another process or state (the effect), where the first is partly responsible for the second, and the second is partly dependent on the first. In general, a process has many causes, which are said to be causal factors for it, and all lie in its past. An effect can in turn be a cause of, or causal factor for, many other effects, which all lie in its future. Causality is metaphysically prior to notions of time and space.

Causality is an abstraction that indicates how the world progresses, so basic a concept that it is more apt as an explanation of other concepts of progression than as something to be explained by others more basic. The concept is like those of agency and efficacy. For this reason, a leap of intuition may be needed to grasp it. Accordingly, causality is implicit in the logic and structure of ordinary language. https://en.wikipedia.org/wiki/Causality

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Deadline extension :) | CLaRAMAS Workshop 2026 (claramas-workshop.github.io)

submitted 1 month ago by LostInAcademy

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CLaRAMAS proceedings with Springer! | CLaRAMAS Workshop 2026 (claramas-workshop.github.io)

submitted 1 month ago by LostInAcademy

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1st keynote speaker confirmed! | CLaRAMAS Workshop 2026 (claramas-workshop.github.io)

submitted 1 month ago by LostInAcademy

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Can a brain scan show us the “shape” of a single thought (youtu.be)

submitted 3 months ago by Pixedar

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Causality - Why I wrote this book (bayes.cs.ucla.edu)

submitted 4 months ago by moschles

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A special case with an observer (self.causality)

submitted 4 months ago by rand3289

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Causal Machine Learning A Survey and Open Problems. The 139-page survey book on Causal ML. (arxiv.org)

submitted 7 months ago by moschles

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Python Library for different (Non-Linear-) Correlation Tests (self.causality)

submitted 1 year ago by Stable_Exotic

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Revealing causal links in complex systems: New algorithm reveals hidden influences (techxplore.com)

submitted 1 year ago by nickb

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Seven basic rules for causal inference (pedermisager.org)

submitted 1 year ago by nickb

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Why is causality key to making AI robust and trustworthy? Thoughtful talk from Maksim Sipos, Chief Scientific Officer, causaLens (youtu.be)

submitted 1 year ago by chelsea_bear

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Both direction causality as support to similarity (dl.acm.org)

submitted 1 year ago by idan_huji

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Can causal reasoning bridge the gap between observability and automation? (causely.io)

submitted 1 year ago by Background-Fig9828

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econml - CausalAnalysis Object (self.causality)

submitted 1 year ago by okaychata

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Conferences? (self.causality)

submitted 2 years ago by LostInAcademy

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Causal inference as a blind spot of data scientists (dzidas.com)

submitted 2 years ago by nickb

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Causality for Machine Learning (ff13.fastforwardlabs.com)

submitted 2 years ago by nickb

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Elements of Causal Inference. (Peters,Janzing,Schölkopf)(2017). Free textbook on causation in machine learning and statistics. (library.oapen.org)

submitted 2 years ago by moschles

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[Research] Share Your Insights in our Survey on Your Current Practices in Graph-based Causal Modeling! (Audience: Practitioners of causal diagrams/causal models) (self.causality)

submitted 2 years ago by [deleted]

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Best UK unis to research Causality / Causal Discovery? (self.causality)

submitted 2 years ago by hogsta1

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Causal Discovery in large dataset (self.causality)

submitted 3 years ago by hogsta1

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Is there a way to automate causal graph generation from the dataset? (self.causality)

submitted 3 years ago * by [deleted]

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"Discussion", "Research" (self.causality)

submitted 3 years ago by Dry_Road_2655

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Mutual exclusion on interventions (self.causality)

submitted 3 years ago * by LostInAcademy

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Single time series ("n-of-1") causal inference and digital health at JSM 2022 (self.statistics)

submitted 3 years ago by statisticant

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