Asia
Improved Algorithmsfor Neural Active Learning
Then, giventhenumberofroundsT, forany 2 (0,1), >1, 2 (0,1), >0, suppose m e (poly(T, k, L, )), 1 = 2 = ( pTm), andยต satisfiestheconditionsin Theorem 4.1 andmax
Reliable training and estimation of variance networks
Nicki Skafte, Martin Jรธrgensen, Sรธren Hauberg
Neural Information Processing Systems http://nips.cc/
ContinuousCategoriesDiscovery
We refer to it as theContinuous Category Discovery(CCD) problem, which is significantly more challenging than the static setting.
OptimalBest-ArmIdentificationMethodsfor Tail-RiskMeasures
The algorithm requires solving a non-convex optimization problem inthespace ofprobability measures, thatrequires delicate analysis.
Cascading Contextual Assortment Bandits
These selected items are sequentially presented one at a time to a user. If the user clicks on a presented item, the cascading round ends.
Cascading Contextual Assortment Bandits
These selected items are sequentially presented one at a time to a user. If the user clicks on a presented item, the cascading round ends.
