Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaussian Process Bandit Optimization of the Thermodynamic Variational
  Objective   Achieving the full promise of the Thermodynamic Variational Objective (TVO),
a recently proposed variational lower bound on the log evidence involving a
one-dimensional Riemann integral approximation, requires choosing a "schedule"
of sorted discretization points. This paper introduces a bespoke Gaussian
process bandit optimization method for automatically choosing these points. Our
approach not only automates their one-time selection, but also dynamically
adapts their positions over the course of optimization, leading to improved
model learning and inference. We provide theoretical guarantees that our bandit
optimization converges to the regret-minimizing choice of integration points.
Empirical validation of our algorithm is provided in terms of improved learning
and inference in Variational Autoencoders and Sigmoid Belief Networks.

27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat