Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimal Sub-sampling with Influence Functions   Sub-sampling is a common and often effective method to deal with the
computational challenges of large datasets. However, for most statistical
models, there is no well-motivated approach for drawing a non-uniform
subsample. We show that the concept of an asymptotically linear estimator and
the associated influence function leads to optimal sampling procedures for a
wide class of popular models. Furthermore, for linear regression models which
have well-studied procedures for non-uniform sub-sampling, we show our optimal
influence function based method outperforms previous approaches. We empirically
show the improved performance of our method on real datasets.

20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th