Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Hessian Estimation Evolution Strategy   We present a novel black box optimization algorithm called Hessian Estimation
Evolution Strategy. The algorithm updates the covariance matrix of its sampling
distribution by directly estimating the curvature of the objective function.
This algorithm design is targeted at twice continuously differentiable
problems. For this, we extend the cumulative step-size adaptation algorithm of
the CMA-ES to mirrored sampling. We demonstrate that our approach to covariance
matrix adaptation is efficient by evaluation it on the BBOB/COCO testbed. We
also show that the algorithm is surprisingly robust when its core assumption of
a twice continuously differentiable objective function is violated. The
approach yields a new evolution strategy with competitive performance, and at
the same time it also offers an interesting alternative to the usual covariance
matrix update mechanism.

29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat