Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalization Bounds for Stochastic Gradient Langevin Dynamics: A
  Unified View via Information Leakage Analysis   Recently, generalization bounds of the non-convex empirical risk minimization
paradigm using Stochastic Gradient Langevin Dynamics (SGLD) have been
extensively studied. Several theoretical frameworks have been presented to
study this problem from different perspectives, such as information theory and
stability. In this paper, we present a unified view from privacy leakage
analysis to investigate the generalization bounds of SGLD, along with a
theoretical framework for re-deriving previous results in a succinct manner.
  Aside from theoretical findings, we conduct various numerical studies to
empirically assess the information leakage issue of SGLD. Additionally, our
theoretical and empirical results provide explanations for prior works that
study the membership privacy of SGLD.

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The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
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The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc