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Found 4 papers, 2 papers with code
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
We consider dyadic zero-shot event extraction (EE) to identify actions between pairs of actors.
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
We propose such a pre-processing step for the PC algorithm which relies on performing CI tests on a few randomly selected large conditioning sets.
Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials
Benkeser et al. demonstrate how adjustment for baseline covariates in randomized trials can meaningfully improve precision for a variety of outcome types.
Measuring Interventional Robustness in Reinforcement Learning
Recent work in reinforcement learning has focused on several characteristics of learned policies that go beyond maximizing reward.
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