Nested Counterfactual Identification from Arbitrary Surrogate Experiments
On 12 Dec, 2021 By admin 0 Comments
December, 2021
Abstract
Causal Inference
Generalizing Clinical Trials with Convex Hulls
On 4 Dec, 2021 By admin 0 Comments
November, 2021
Abstract
An Automated Approach to Causal Inference in Discrete Settings
On 2 Oct, 2021 By admin 0 Comments
September, 2021
Abstract
The Causal Foundations of Structural Equation Modeling
On 1 Oct, 2021 By admin 0 Comments
June, 2021
Abstract
Recovering Causal Effects from Selection Bias
On 10 Sep, 2021 By admin 0 Comments
January, 2015
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.
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