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TeachingviaBest-CaseCounterexamples intheLearning-with-Equivalence-QueriesParadigm

Neural Information Processing Systems

We establish new connections between LwEQ-TD and LfS-TD by studying LwEQ-TD for different learner models based on the richness of their query functions. We show that LwEQ-TD isthesameaswc-TD[18],RTD[22,24],andNCTD[27]forahypothesis class when restricting query functions to specific families.


AUnifiedAnalysisofFederatedLearningwith ArbitraryClientParticipation

Neural Information Processing Systems

The objective(1) can be extended to a weighted average, but we do not write out the weights and consider them as part ofℓn(x,ξ)andFn(x).



FromFinitetoCountable-ArmedBandits

Neural Information Processing Systems

Inaddition, there is a fixed distribution over types which sets the proportion of each type in the population of arms. The decision maker is oblivious to the type of any arm and to the aforementioned distribution over types, but perfectly knows the total number of types occurring in the population of arms.