An Automated Approach to Causal Inference in Discrete Settings
On 2 Oct, 2021 By admin 0 Comments
September, 2021
Abstract
Causal Inference
The Causal Foundations of Structural Equation Modeling
On 1 Oct, 2021 By admin 0 Comments
June, 2021
Abstract
CausaLM: Causal Model Explanation Through Counterfactual Language Models
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Data Science, Causal Inference, Linguistic Causation, CausaLM, Causal Model Explanation, Counterfactual Language Models, Machine Learning
Discuss causative linguistic expressions and causal model explanation through counterfactual language models.
CausaLM: Causal Model Explanation Through Counterfactual Language Models - 2021
Abstract
Modelling Linguistic Causation
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Data Science, Causal Inference, Linguistic Causation, Structural Equation Modelling
Discuss causative linguistic expressions, how causal relations are expressed in natural languages, and Structural Equation Modelling (SEM).
Modelling Linguistic Causation - 2021
Abstract
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
DoWhy, Causal Assumptions, Causal Inference, Causal Data Science, Machine Learning
Discuss successful application of causal inference techniques. As computing systems are more frequently and more actively intervening in societally critical domains such as healthcare, education, and governance, it is critical to correctly predict and understand the causal effects of these interventions. Without an A/B test, conventional machine learning methods, built on pattern recognition and correlational analyses, are insufficient for decision-making.
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 23 Aug, 2021 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
The Causal Foundations of Applied Probability and Statistics
On 21 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Probabilistic Logic, Probability Theory, Causality, Causal Inference, Applied Probability, Statistics
Discuss applied probability theory and causality.
The Causal Foundations of Applied Probability and Statistics - November, 2020
Abstract
Control of Confounding and Reporting of Results in Causal Inference Studies
On 21 Aug, 2021 By admin 0 Comments
An Introduction to Causal Inference
On 20 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Inference, Directed Acyclic Graphs, Counterfactuals, D-separation, Do-calculus, Simpson’s Paradox, Structural Causal Model
Introduction to Causal Inference - Fabian Dablander
September, 2020
Abstract
Causal Inference and the Data-fusion Problem
On 20 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Inference, Data-fusion, Causal Analysis, Causal Data Science, Counterfactuals, Selection Bias
Discuss concepts and techniques of different approaches to causal analysis, the curse of big data, data fusion and bias challenges. Discuss biases such as: confounding, sampling selection, and cross-population biases, along with a general, potential mitigation nonparametric framework for handling biases.
Discuss appropriate use of counterfactuals in causal analysis and risk of reasonable inference vs. unreasonable inference.