Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive Gradient Methods for Constrained Convex Optimization and
  Variational Inequalities   We provide new adaptive first-order methods for constrained convex
optimization. Our main algorithms AdaACSA and AdaAGD+ are accelerated methods,
which are universal in the sense that they achieve nearly-optimal convergence
rates for both smooth and non-smooth functions, even when they only have access
to stochastic gradients. In addition, they do not require any prior knowledge
on how the objective function is parametrized, since they automatically adjust
their per-coordinate learning rate. These can be seen as truly accelerated
Adagrad methods for constrained optimization.
  We complement them with a simpler algorithm AdaGrad+ which enjoys the same
features, and achieves the standard non-accelerated convergence rate. We also
present a set of new results involving adaptive methods for unconstrained
optimization and monotone operators.

7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph