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%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.01",
%%%     date            = "02 May 2024",
%%%     time            = "08:27:44 MST",
%%%     filename        = "jds.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "46246 238 1040 10239",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography; BibTeX: ACM/IMS Journal of Data
%%%                        Science",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE bibliography of the
%%%                        ACM/IMS Journal of Data Science (CODEN none,
%%%                        ISSN 2831-3194), a joint journal of the
%%%                        Association for Computing Machinery (ACM) and
%%%                        the Institute of Mathematical Statistics
%%%                        (IMS).  Publication began with volume 1,
%%%                        number 1, in March 2024.
%%%
%%%                        The journal has Web sites at
%%%
%%%                            https://dl.acm.org/journal/jds
%%%                            https://dl.acm.org/loi/jds
%%%                            https://dl.acm.org/toc/jds/2024/1/1
%%%
%%%                        At version 1.01, the COMPLETE year coverage
%%%                        looked like this:
%%%
%%%                             2024 (   5)
%%%
%%%                             Article:          5
%%%
%%%                             Total entries:    5
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, journal entries are
%%%                        sorted in publication order, using
%%%                        bibsort -byvolume.
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{"\input bibnames.sty" #
    "\def \TM {${}^{\sc TM}$}"
}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@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/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-ACM-IMS-J-DATA-SCI = "ACM\slash IMS Journal of Data Science"}

%%% ====================================================================
%%% Bibliography entries, sorted in publication order with ``bibsort
%%% --byvolume'':
@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",
}