Stochastic Gradients under Nuisances

Facheng Yu, Ronak Mehta, Alex Luedtke +1

Stochastic gradient optimization is the dominant learning paradigm for a variety of scenarios, from classical supervised learning to modern self-supervised learning. We consider st…