5 citations · 31 across the 19 of their papers we have counts for
23 papers
Learnability with PAC Semantics for Multi-agent Beliefs
Ionela G. Mocanu, Vaishak Belle, Brendan Juba
The tension between deduction and induction is perhaps the most fundamental issue in areas such as philosophy, cognition and artificial intelligence. In an influential paper, Valia…
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…
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…
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…
Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture
Zihao Deng, Zee Fryer, Brendan Juba +2
We propose a modular architecture for the lifelong learning of hierarchically structured tasks. Specifically, we prove that our architecture is theoretically able to learn tasks th…
Conditional Linear Regression for Heterogeneous Covariances
Brendan Juba, Leda Liang
Often machine learning and statistical models will attempt to describe the majority of the data. However, there may be situations where only a fraction of the data can be fit well…