Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parallel Architecture and Hyperparameter Search via Successive Halving
  and Classification   We present a simple and powerful algorithm for parallel black box
optimization called Successive Halving and Classification (SHAC). The algorithm
operates in $K$ stages of parallel function evaluations and trains a cascade of
binary classifiers to iteratively cull the undesirable regions of the search
space. SHAC is easy to implement, requires no tuning of its own configuration
parameters, is invariant to the scale of the objective function and can be
built using any choice of binary classifier. We adopt tree-based classifiers
within SHAC and achieve competitive performance against several strong
baselines for optimizing synthetic functions, hyperparameters and
architectures.

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The categories of this paper are: hep-ph
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat