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cs.CR2022
A Scalable Shannon Entropy Estimator
Priyanka Golia, Brendan Juba, Kuldeep S. Meel
We revisit the well-studied problem of estimating the Shannon entropy of a probability distribution, now given access to a probability-revealing conditional sampling oracle. In thi…
cs.CC2022★ 1 cited
Hardness of Maximum Likelihood Learning of DPPs
Elena Grigorescu, Brendan Juba, Karl Wimmer +1
Determinantal Point Processes (DPPs) are a widely used probabilistic model for negatively correlated sets. DPPs have been successfully employed in Machine Learning applications to…
cs.AI2022★ 1 cited
An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds
Brendan Juba, Roni Stern
In this technical report, we provide a complete example of running the SAM+ algorithm, an algorithm for learning stochastic planning action models, on a simplified PPDDL version of…