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Found 2 papers, 2 papers with code
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
The approaches leverage weighted conformal predictive systems (WCPS), Monte Carlo sampling, and CATE meta-learners to generate predictive distributions of individual treatment effect (ITE) that could enhance individualized decision-making.
Powershap: A Power-full Shapley Feature Selection Method
Benchmarks and simulations show that powershap outperforms other filter methods with predictive performances on par with wrapper methods while being significantly faster, often even reaching half or a third of the execution time.
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