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Found 3 papers, 1 papers with code
Selective prediction-set models with coverage guarantees
Though black-box predictors are state-of-the-art for many complex tasks, they often fail to properly quantify predictive uncertainty and may provide inappropriate predictions for unfamiliar data.
Balanced off-policy evaluation in general action spaces
We show that minimizing the risk of the classifier implies minimization of imbalance to the desired counterfactual distribution of state-action pairs.
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
In particular, it results in more efficient and accurate estimation in large networks containing hub nodes, which are common in biological systems.
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