For online matching on sparse stochastic block models, greedy and balance policies have fluid limits described by an ODE and a differential inclusion, with an ETC bandit variant achieving sublinear regret.
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Online matching on stochastic block model
For online matching on sparse stochastic block models, greedy and balance policies have fluid limits described by an ODE and a differential inclusion, with an ETC bandit variant achieving sublinear regret.