NeurIPS 2020

### Meta Review

The paper addresses the problem of estimating transport map between continuous distributions through kernel mean embeddings. All reviewers agreed that the paper proposes a noveland interesting contribution to the OT literature by bridging kernel mean embeddings and OT. They achieve strong and relevant guarantees (eg dimension-free sample complexity of the transport map estimation). As such, reviewers all think that the paper has to be accepted.