2 problems

Consider AdaGrad applied to smooth convex optimization problems with stochastic gradient noise whose bounded $\alpha$-th moment satisfies $\alpha<2$, and let $b_t$ denote the adapt…

AdaGrad local-Lipschitz conjecture. Our sequential convergence result should still hold for convex objectives $F$ with full domain and locally Lipschitz gradient.