The 3rd Workshop on Causal Inference and Machine Learning in Practice at KDD 2025 aims to bring together researchers, industry professionals, and practitioners to explore the application of causal ...
A study reveals that early star performers often do not become top achievers in adulthood, emphasizing the value of ...
More and more senior researchers in AI seem to believe that LLMs aren’t the path to achieving AGI. The latest to join ...
Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning raises concerns. Trustworthy deployment demands transparency, fairness, and ...
Fletcher’s Storythinking explains the vast role that storythinking plays in human affairs as chains of narratives drive action, and understanding of actions already taken ...
I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...
Join the ORBIT (Observational Research Building Interdisciplinary Therapeutic Advances) Interdisciplinary Hub for their inaugural seminar "Principles of Causal Inference Using Observational Data" on ...
ABSTRACT: The study focuses on identifying and distinguishing whether there are differences between those students receiving special education services later compared to their general-education peers ...
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