@Preamble{"\input bibnames.sty" #
"\def \TM {${}^{\sc TM}$}"
}
@String{ack-nhfb = "Nelson H. F. Beebe,
University of Utah,
Department of Mathematics, 110 LCB,
155 S 1400 E RM 233,
Salt Lake City, UT 84112-0090, USA,
Tel: +1 801 581 5254,
e-mail: \path|beebe@math.utah.edu|,
\path|beebe@acm.org|,
\path|beebe@computer.org| (Internet),
URL: \path|https://www.math.utah.edu/~beebe/|"}
@String{j-ACM-IMS-J-DATA-SCI = "ACM\slash IMS Journal of Data Science"}
@Article{Bradic:2024:AIJ,
author = "Jelena Bradic and Stratos Idreos and John Lafferty",
title = "{{ACM\slash} IMS} Journal of Data Science: Inaugural
Issue Editorial",
journal = j-ACM-IMS-J-DATA-SCI,
volume = "1",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3644102",
ISSN = "2831-3194",
ISSN-L = "2831-3194",
bibdate = "Wed Apr 3 11:24:34 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jds.bib",
URL = "https://dl.acm.org/doi/10.1145/3644102",
acknowledgement = ack-nhfb,
ajournal = "ACM\slash IMS J. Data Sci.",
articleno = "1e",
fjournal = "ACM\slash IMS Journal of Data Science",
journal-URL = "https://dl.acm.org/loi/jds",
}
@Article{Gu:2024:BNB,
author = "Quanquan Gu and Amin Karbasi and Khashayar Khosravi
and Vahab Mirrokni and Dongruo Zhou",
title = "Batched Neural Bandits",
journal = j-ACM-IMS-J-DATA-SCI,
volume = "1",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3592474",
ISSN = "2831-3194",
ISSN-L = "2831-3194",
bibdate = "Wed Apr 3 11:24:34 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jds.bib",
URL = "https://dl.acm.org/doi/10.1145/3592474",
abstract = "In many sequential decision-making problems, the
individuals are split into several batches and the
decision-maker is only allowed to change her policy at
the end of batches. These batch problems have a large
number of applications, ranging from clinical
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM\slash IMS J. Data Sci.",
articleno = "1",
fjournal = "ACM\slash IMS Journal of Data Science",
journal-URL = "https://dl.acm.org/loi/jds",
}
@Article{Heidari:2024:RFI,
author = "Alireza Heidari and George Michalopoulos and Ihab F.
Ilyas and Theodoros Rekatsinas",
title = "Record Fusion via Inference and Data Augmentation",
journal = j-ACM-IMS-J-DATA-SCI,
volume = "1",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3593579",
ISSN = "2831-3194",
ISSN-L = "2831-3194",
bibdate = "Wed Apr 3 11:24:34 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jds.bib",
URL = "https://dl.acm.org/doi/10.1145/3593579",
abstract = "We introduce a learning framework for the problem of
unifying conflicting data in multiple records referring
to the same entity --- we call this problem ``record
fusion.'' Record fusion generalizes two known problems:
``data fusion'' and ``golden record.'' Our \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM\slash IMS J. Data Sci.",
articleno = "2",
fjournal = "ACM\slash IMS Journal of Data Science",
journal-URL = "https://dl.acm.org/loi/jds",
}
@Article{Opipari:2024:DDN,
author = "Anthony Opipari and Jana Pavlasek and Chao Chen and
Shoutian Wang and Karthik Desingh and Odest Chadwicke
Jenkins",
title = "{DNBP}: Differentiable Nonparametric Belief
Propagation",
journal = j-ACM-IMS-J-DATA-SCI,
volume = "1",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3592762",
ISSN = "2831-3194",
ISSN-L = "2831-3194",
bibdate = "Wed Apr 3 11:24:34 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jds.bib",
URL = "https://dl.acm.org/doi/10.1145/3592762",
abstract = "We present a differentiable approach to learn the
probabilistic factors used for inference by a
nonparametric belief propagation algorithm. Existing
nonparametric belief propagation methods rely on
domain-specific features encoded in the probabilistic
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM\slash IMS J. Data Sci.",
articleno = "3",
fjournal = "ACM\slash IMS Journal of Data Science",
journal-URL = "https://dl.acm.org/loi/jds",
}
@Article{Kang:2024:DMM,
author = "Daniel Kang and John Guibas and Peter Bailis and
Tatsunori Hashimoto and Yi Sun and Matei Zaharia",
title = "Data Management for {ML}-Based Analytics and Beyond",
journal = j-ACM-IMS-J-DATA-SCI,
volume = "1",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3611093",
ISSN = "2831-3194",
ISSN-L = "2831-3194",
bibdate = "Wed Apr 3 11:24:34 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jds.bib",
URL = "https://dl.acm.org/doi/10.1145/3611093",
abstract = "The increasing capabilities of machine learning (ML)
has enabled the deployment of ML methods in a variety
of applications, ranging from unstructured data
analytics to autonomous vehicles. Due to the volumes of
data over which ML is deployed, it is \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM\slash IMS J. Data Sci.",
articleno = "4",
fjournal = "ACM\slash IMS Journal of Data Science",
journal-URL = "https://dl.acm.org/loi/jds",
}