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EvaluatingRobustnesstoDatasetShift viaParametricRobustnessSets

Neural Information Processing Systems

These shifts are defined via parametric changes in the causal mechanisms of observed variables, where constraints on parameters yield a "robustness set" of plausible distributions and acorresponding worst-case loss overthe set.



UnsupervisedLearningofCompositionalEnergy Concepts

Neural Information Processing Systems

Thisisespecially apparent in natural language, which is often described as a tool for making'infinite use of finite means' [8]. Previously acquired words canbeinfinitely nested using asetofgrammatical rules to communicate an arbitrary thought, opinion, or state one is in.