Heckman
PulseAugur coverage of Heckman — every cluster mentioning Heckman across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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CausalBind uses causal modeling for protein-molecule virtual screening
Researchers have developed CausalBind, a novel approach for protein-molecule virtual screening that leverages causal modeling and learning. This method aims to identify and utilize sparse interaction patterns between pr…
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New framework enables regression analysis with biased samples
Researchers have developed a new framework for regression analysis that provides a complete characterization of when it's possible to learn from biased samples. This method addresses ubiquitous challenges in fields like…
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Heckman correction improves ML model uncertainty calibration
Researchers have developed a new method for addressing epistemic uncertainty in machine learning models, particularly when training data is subject to selection bias. The proposed technique adapts the Heckman correction…