Nested Counterfactual Identification from Arbitrary Surrogate Experiments
December, 2021
Abstract
December, 2021
Abstract
November, 2021
Abstract
September, 2021
Abstract
June, 2021
Abstract
January, 2015
Abstract
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
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
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.
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