Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mean estimation and regression under heavy-tailed distributions--a
  survey   We survey some of the recent advances in mean estimation and regression
function estimation. In particular, we describe sub-Gaussian mean estimators
for possibly heavy-tailed data both in the univariate and multivariate
settings. We focus on estimators based on median-of-means techniques but other
methods such as the trimmed mean and Catoni's estimator are also reviewed. We
give detailed proofs for the cornerstone results. We dedicate a section on
statistical learning problems--in particular, regression function
estimation--in the presence of possibly heavy-tailed data.

37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int