Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Guided Learning of Nonconvex Models through Successive Functional
  Gradient Optimization   This paper presents a framework of successive functional gradient
optimization for training nonconvex models such as neural networks, where
training is driven by mirror descent in a function space. We provide a
theoretical analysis and empirical study of the training method derived from
this framework. It is shown that the method leads to better performance than
that of standard training techniques.

8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con