Judea Pearl -- The Foundations of Causal Inference
On 22 Jan, 2023 By admin 0 Comments
Causal Reasoning
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 26 Apr, 2022 By admin 0 Comments
DSA ADS Course - 2021
Causality, Causal Reasoning, Causal Inference, Machine Learning, Algorithms
Discuss causality and machine learning - contrast with statistical correlations.
The Seven Tools of Causal Inference, with Reflections on Machine Learning - March, 2019 By Judea Pearl
Causal Data Science: A General Framework for Causal Inference and Fusion
On 14 Apr, 2022 By admin 0 Comments
Algorithms for Causal Reasoning in Probability Trees
On 20 Jul, 2021 By admin 0 Comments
DSA ADS Course - 2021
Algorithms for Causal Reasoning in Probability Trees
Causality, Algorithms, Causal Reasoning, Probability Trees, Machine Learning
October, 2020
Abstract
The Sure Thing
On 16 Jul, 2021 By admin 0 Comments
DSA ADS Course - 2021
The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability, Nonlinear Utility Scale, Simpson’s Paradox, Blyth’s Game
Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.
See also: The Sure-Thing Principle
The Sure Thing - 2021
Abstract
The Sure-Thing Principle
On 16 Jul, 2021 By admin 0 Comments
DSA ADS Course - 2021
The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability
Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.
See also: The Sure Thing
The Sure-Thing Principle - 2016
Abstract
Judea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI
On 2 Dec, 2020 By admin 0 Comments
Interview with Judea Pearl
On 2 Dec, 2020 By admin 0 Comments
Explaining Away, Augmentation, and the Assumption of Independence
On 20 Nov, 2020 By admin 0 Comments
Thinking About Causation: A Causal Language with Epistemic Operators
On 18 Nov, 2020 By admin 0 Comments
October, 2020
Abstract
This paper proposes a formal framework for modeling the interaction of causal and (qualitative) epistemic reasoning. To this purpose, we extend the notion of a causal model [16, 17, 26, 11] with a representation of the epistemic state of an agent. On the side of the object language, we add operators to express knowledge and the act of observing new information. We provide a sound and complete axiomatization of the logic, and discuss the relation of this framework to causal team semantics.