Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sparse constrained projection approximation subspace tracking   In this paper we revisit the well-known constrained projection approximation
subspace tracking algorithm (CPAST) and derive, for the first time,
non-asymptotic error bounds. Furthermore, we introduce a novel sparse
modification of CPAST which is able to exploit sparsity in the underlying
covariance structure. We present a non-asymptotic analysis of the proposed
algorithm and study its empirical performance on simulated and real data.

6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
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
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
18
The categories of this paper are: econ
9
The categories of this paper are: nlin