Joulani et al. (2013) have studied multi-armed bandits with delayed feedback under the assumption that the rewards are stochastic and the delays are sampled from a fixed distribution.

To this end, high-probability guarantees have been considered in the literature [35, 64, 20, 32, 22]. These results allow to control the risk associated with the worst-case tail events as theyspecify howmanyiterations would be sufficient toensureG(xk,yk) issufficiently small foranygivenfailure probability q (0,1).

The second focuses on the symbolic part (hierarchies) of the embeddings for a popular kind of supervised ofmodels: decision trees(andensembles).

Our benchmark comprises three existing datasets with expanded annotations to supportmulti-taskevaluation.

SynCx outperforms or is strongly competitive with current models for unsupervised object discovery.