# Call for Papers
# UAI 2015 Bayesian Modelling Applications Workshop

*Note: submissions due at https://easychair.org/conferences/?conf=baw2015
by 18 May 2015*

Continuing a successful tradition as part of the UAI conference, the
Twelfth Annual Bayesian Modeling Applications Workshop will provide a forum
for exchange about real-world problems among applications practitioners,
tool developers, and researchers.  The aim of the workshop is to foster
discussion on the challenges of building applications whilst considering
stakeholders, user interaction, tools, knowledge elicitation, learning,
validation, system integration, and deployment.

The theme of the Workshop has adapted from year to year, as real-world
problems
change and technologies evolve to meet them. The frenzy to apply
conventional machine learning methods for commercial applications has the
danger of overwhelming Bayesian methods where they might be best applied.
Bayesian methods face a similar challenge to the one they faced a decade
ago by this community: To demonstrate their timeliness in the current
environment of intelligent systems and a long tail of related decision and
prediction tasks.

Submissions are solicited of real-world applications of Bayesian models and
computational methods, to be presented in oral or poster sessions.  There
will also be opportunity to take part in discussions with invited speakers
and with a concluding panel about the state of the current application
environment. We encourage submissions from a broad spectrum of topics, with
a bias toward novel domains, including those that cross domains or
disciplines, on topics suggested by this list:

* Problem representation, formulation, and model design;
* Novel approaches for learning and inference with probabilistic graphical
models, inspired by a real-world problem;
* Combining machine learning, active learning, and elicitation of expert
knowledge;
* Tractable, scalable computational methods for complex and distributed
models;
* Bayesian approaches to classification, clustering, recommendations,
personalization, search, advertising, and on-line so-called "A/B" testing;
* Generative models for data cleaning, feature engineering, or fusion of
different types of data;
* Techniques for domains with missing, incomplete, large, heterogeneous,
and unstructured data;
* Extensions to relational data, causality, infinite domains, spatial or
temporal reasoning.

Submissions will be peer reviewed and papers will be published online.
Final workshop papers will be selected with the goal of fostering
discussion of critical issues within the community of practice. BMAW 2015
will be a half-day workshop. All papers accepted to the BMAW will be
presented during the workshop and published in the workshop proceedings.
Authors of accepted technical papers will have 20 minutes to present their
work, while authors of accepted position papers will have a 10-minute slot
to share their ideas. After each presentation, 5 minutes will be allocated
to questions from the audience. Both technical and position papers will be
published in the BMAW Workshop proceedings, to be available after the UAI
2015 Conference.

Authors who submit a full paper, but wish to withhold it from publication
in this workshop, either because it contains references to proprietary
data, or because they wish to publish it later at a different venue, can
request that only the abstract be published.

We are running two review cycles, the main cycle, and an early, expedited
review cycle for authors who are ready to submit and need early
notification to be able to make travel arrangements. We request that
authors submit to the Main Review Cycle if at all possible.

Submissions to BAW2015 should adhere to UAI format and page limits, and be
submitted to  https://easychair.org/conferences/?conf=baw2015. LaTeX and MS
Word templates can be found on the UAI submission instructions site.

Final submissions for the proceedings must be accompanied by a signed
copyright release form.

Please see the Workshop website at https://c4i.gmu.edu/BMAW/2015/ for
updates on the Workshop. Questions about the Workshop should be sent to
[email protected]

## Early Review Cycle Dates
| ---------
| Friday,   24 April, 2015 | Early Submissions Due
| Tuesday,  12   May, 2015 | Early Author Notification

## Main Review Cycle Dates
| ---------
| Friday,   15  May, 2015 | Abstracts Due
| Monday,   18  May, 2015 | Submissions Due
| Friday,   12 June, 2015 | Author Notification

## Workshop Dates
| ---------
| Monday,    6 July, 2015 | Camera-ready copy due
| Thursday, 16 July, 2015 | Workshop Date (tentative)

## Co-chairs:

John Mark Agosta
Microsoft Azure ML
[email protected]

Rommel Novaes Carvalho
University of Brasília / Brazil's Office of the General Comptroller
[email protected]

## Organizing Committee Members:

Russell Almond (Associate Professor, Florida State, USA) <[email protected]>,
Feng Chen (Assistant Professor, U. at Albany) <[email protected]>,
Fabio Cozman (Universidade de Sao Paulo, Brazil) <[email protected]>,
Marek J. Druzdzel (University of Pittsburgh, USA; Bialystok University of
Technology, Poland) <[email protected]>,
Pablo Hector Ibarguengoytia González <[email protected]>,
Jim Jones (Associate Professor, George Mason University, Fairfax, VA, USA) <
[email protected]>,
Oscar Kipersztok (The Boeing Company, USA) <[email protected]>,
Branislav Kveton (Adobe Research) <[email protected]>,
Kathryn Laskey (Professor, George Mason University, Fairfax, VA, USA) <
[email protected]>
Manuel Luque (UNED, Madrid) <[email protected]>,
Ole Mengshoel (CMU) <[email protected]>,
Ann Nicholson (Monash University/Bayesian Intelligence) <
[email protected]>,
Tomas Singliar (Amazon) <[email protected]>,
Luis Enrique Sucar (INAOE, Puebla, Mexico) <[email protected]>,
Charles R. Twardy (George Mason University, Fairfax, VA, USA) <
[email protected]>,
Tom Walsh (Data Scientist, Kronos Incorporated, USA) <[email protected]
>
Title: CFP_BMAW2015

Call for Papers

UAI 2015 Bayesian Applications Workshop

Note: submissions due at https://easychair.org/conferences/?conf=baw2015 by 18 May 2015

Continuing a successful tradition as part of the UAI conference, the Twelfth Annual Bayesian Modeling Applications Workshop will provide a forum for exchange about real-world problems among applications practitioners, tool developers, and researchers. The aim of the workshop is to foster discussion on the challenges of building applications whilst considering stakeholders, user interaction, tools, knowledge elicitation, learning, validation, system integration, and deployment.

The theme of the Workshop has adapted from year to year, as real-world problems
change and technologies evolve to meet them. The frenzy to apply conventional machine learning methods for commercial applications has the danger of overwhelming Bayesian methods where they might be best applied. Bayesian methods face a similar challenge to the one they faced a decade ago by this community: To demonstrate their timeliness in the current environment of intelligent systems and a long tail of related decision and prediction tasks.

Submissions are solicited of real-world applications of Bayesian models and computational methods, to be presented in oral or poster sessions. There will also be opportunity to take part in discussions with invited speakers and with a concluding panel about the state of the current application environment. We encourage submissions from a broad spectrum of topics, with a bias toward novel domains, including those that cross domains or disciplines, on topics suggested by this list:

  • Problem representation, formulation, and model design;
  • Novel approaches for learning and inference with probabilistic graphical models, inspired by a real-world problem;
  • Combining machine learning, active learning, and elicitation of expert knowledge;
  • Tractable, scalable computational methods for complex and distributed models;
  • Bayesian approaches to classification, clustering, recommendations, personalization, search, advertising, and on-line so-called “A/B” testing;
  • Generative models for data cleaning, feature engineering, or fusion of different types of data;
  • Techniques for domains with missing, incomplete, large, heterogeneous, and unstructured data;
  • Extensions to relational data, causality, infinite domains, spatial or temporal reasoning.

Submissions will be peer reviewed and papers will be published online. Final workshop papers will be selected with the goal of fostering discussion of critical issues within the community of practice. BMAW 2015 will be a half-day workshop. All papers accepted to the BMAW will be presented during the workshop and published in the workshop proceedings. Authors of accepted technical papers will have 20 minutes to present their work, while authors of accepted position papers will have a 10-minute slot to share their ideas. After each presentation, 5 minutes will be allocated to questions from the audience. Both technical and position papers will be published in the BMAW Workshop proceedings, to be available after the UAI 2015 Conference.

Authors who submit a full paper, but wish to withhold it from publication in this workshop, either because it contains references to proprietary data, or because they wish to publish it later at a different venue, can request that only the abstract be published.

We are running two review cycles, the main cycle, and an early, expedited review cycle for authors who are ready to submit and need early notification to be able to make travel arrangements. We request that authors submit to the Main Review Cycle if at all possible.

Submissions to BAW2015 should adhere to UAI format and page limits, and be submitted to https://easychair.org/conferences/?conf=baw2015. LaTeX and MS Word templates can be found on the UAI submission instructions site.

Final submissions for the proceedings must be accompanied by a signed copyright release form.

Please see the Workshop website at https://c4i.gmu.edu/BMAW/2015/ for updates on the Workshop. Questions about the Workshop should be sent to [email protected]

Early Review Cycle Dates

Friday, 24 April, 2015 Early Submissions Due
Tuesday, 12 May, 2015 Early Author Notification

Main Review Cycle Dates

Friday, 15 May, 2015 Abstracts Due
Monday, 18 May, 2015 Submissions Due
Friday, 12 June, 2015 Author Notification

Workshop Dates

Monday, 6 July, 2015 Camera-ready copy due
Thursday, 16 July, 2015 Workshop Date (tentative)

Co-chairs:

John Mark Agosta
Microsoft Azure ML
[email protected]

Rommel Novaes Carvalho
University of Brasília / Brazil’s Office of the General Comptroller
[email protected]

Organizing Committee Members:

Russell Almond (Associate Professor, Florida State, USA) [email protected],
Feng Chen (Assistant Professor, U. at Albany) [email protected],
Fabio Cozman (Universidade de Sao Paulo, Brazil) [email protected],
Marek J. Druzdzel (University of Pittsburgh, USA; Bialystok University of Technology, Poland) [email protected],
Pablo Hector Ibarguengoytia González [email protected],
Jim Jones (Associate Professor, George Mason University, Fairfax, VA, USA) [email protected],
Oscar Kipersztok (The Boeing Company, USA) [email protected],
Branislav Kveton (Adobe Research) [email protected],
Kathryn Laskey (Professor, George Mason University, Fairfax, VA, USA) [email protected]
Manuel Luque (UNED, Madrid) [email protected],
Ole Mengshoel (CMU) [email protected],
Ann Nicholson (Monash University/Bayesian Intelligence) [email protected],
Tomas Singliar (Amazon) [email protected],
Luis Enrique Sucar (INAOE, Puebla, Mexico) [email protected],
Charles R. Twardy (George Mason University, Fairfax, VA, USA) [email protected],
Tom Walsh (Data Scientist, Kronos Incorporated, USA) [email protected]

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