Kernel SHAP
PulseAugur coverage of Kernel SHAP — every cluster mentioning Kernel SHAP across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework enhances volatility model calibration with uncertainty and explainability
Researchers have developed a new framework for calibrating rough Heston models using neural information-theoretic posterior approaches. This method aims to capture the uncertainty in implied volatility surfaces, which t…
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RelShap framework enhances machine learning explanations by respecting data relations
Researchers have introduced RelShap, a novel framework designed to improve the accuracy of Shapley value-based feature explanations in machine learning. Traditional methods often overlook the relational structure of dat…
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New framework proposes fair compensation for LLM-summarized content
A new research paper proposes a framework using Shapley values to address fair compensation for content creators whose work is summarized by large language models (LLMs). The proposed method, called Cluster Shapley, app…