We study learning problems on correlated stochastic block models with two balanced communities.

Gaussian, and the weight matrix is non-degenerate.

In this paper, we study the same problem in the Massart noise model that we now define.

We consider the problem of designing contextual bandit algorithms in the "cross-learning" setting of Balseiro et al., where the learner observes the loss for the action

We consider the problem of designing contextual bandit algorithms in the "cross-learning" setting of Balseiro et al., where the learner observes the loss for the action

We present novel graph kernels for graphs with node and edge labels that have ordered neighborhoods, i.e. when neighbor nodes followanorder.

Neural Information Processing Systems http://nips.cc/

However, the completion accuracy can be drastically different over different entries.