Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Online MAP Inference and Learning for Nonsymmetric Determinantal Point
  Processes   In this paper, we introduce the online and streaming MAP inference and
learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where
data points arrive in an arbitrary order and the algorithms are constrained to
use a single-pass over the data as well as sub-linear memory. The online
setting has an additional requirement of maintaining a valid solution at any
point in time. For solving these new problems, we propose algorithms with
theoretical guarantees, evaluate them on several real-world datasets, and show
that they give comparable performance to state-of-the-art offline algorithms
that store the entire data in memory and take multiple passes over it.

21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin