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Found 2 papers, 1 papers with code
Longitudinal Distance: Towards Accountable Instance Attribution
Previous research in interpretable machine learning (IML) and explainable artificial intelligence (XAI) can be broadly categorized as either focusing on seeking interpretability in the agent's model (i. e., IML) or focusing on the context of the user in addition to the model (i. e., XAI).
A splitting method to reduce MCMC variance
We explore whether splitting and killing methods can improve the accuracy of Markov chain Monte Carlo (MCMC) estimates of rare event probabilities, and we make three contributions.
Numerical Analysis Numerical Analysis 65C05, 65C40, 82C80
