[UAI] CfP - ADVERSE 2017 workshop on Adversarial Reasoning in Multi-agent Systems

[Long Tran-Thanh]

- Second CFP for ADVERSE 
---
ADVERSE 2017: Adversarial Reasoning in Multi-agent Systems
http://teamcore.usc.edu/people/haifeng/Adverse17/index.html
Co-located with AAMAS 2017 (http://www.aamas2017.org/)
May 8-12, 2017, Sao Paulo, Brazil
(Workshop will be held either May 8 or May 9)
---

Adversarial reasoning is essential for modeling real-world problems in presence 
of adversaries, competitions, strategic interactions or uncertainties. Research 
and applications related to adversarial reasoning span a broad variety of 
disciplines, including computer science, electrical engineering, economics, 
biology, etc. The focus of this workshop is to bring together the broad 
community working on adversarial reasoning in multi-agent systems motivated by 
any of these domains.

We invite full length research submissions from a broad range of researchers 
and practitioners, including (1) computer scientists applying their AI/MAS 
research to real-world problems in presence of adversary, uncertainties, 
competitions, etc., (2) interdisciplinary researchers combining AI/MAS with 
various disciplines (e.g., game theory, operations research, social science, 
and psychology), and (3) engineers and scientists from private companies and 
public organizations performing security related research and development, as 
well as building real adversarial reasoning systems. We encourage all 
researchers working towards applying security and multi-agent systems concepts 
for real-world problems to submit to the workshop.

Topics of interest include, but are not limited to:
Real-world applications of game theory for security
Worst case analysis and reasoning
Risk analysis and modeling
Cybersecurity
Adversarial/robust learning
Privacy
Security applications of machine learning
Information Leakage
Foundations of game theory for security
Online learning
Learning in games
Algorithms for scaling to very large games
Behavioral game theory
Decision making under uncertainty
Agent/human interaction for preference elicitation and optimization
Protection against environmental crime
Security applications of AI methods
Evaluation/lessons learned of deployed systems

--

Important Dates

 Submission deadline: February 1, 2017
 Notification: March 7, 2017
 Camera-ready deadline: March 10, 2017

-

Organizing Committee

Haifeng Xu, University of Southern California, USA 
Yevgeniy Vorobeychik, Vanderbilt University, USA
Long Tran-Thanh, University of Southampton, UK
Debarun Kar, University of Southern California, USA

-

Program Committee
Bo An, Nanyang technical University, Singapore
Jose M. Such, Security lancaster, Lancaster University, UK
John P. Dickerson, University of Maryland, MD, USA
Stefan Rass, University of Klagenfurt, Austria
William Yeoh, New Mexico State University, NM, USA
Arunesh Sinha, University of Michigan, MI, USA
Branislav Bosansky, Czech Technical University, Prague, Czech Republic
Bo Li, University of Michigan, MI, USA
Zinovi Rabinovich, Mobileye
Thanh H. Nguyen, University of Michigan, MI, USA
Yang Liu, Harvard University, MA, USA
Vinh-Thong Ta, University of Central lancashire, UK
---

Submission and Publication

Authors should submit original papers (maximum length 8 double-columned pages 
in AAMAS format)
in PDF through the Easychair system:
https://easychair.org/conferences/?conf=adverse2016 

The most "visionary paper" will be published by Springer in a book under the
Lecture Notes in Artificial Intelligence (LNAI) - Hot Topics series. The book
will be a compilation of the most visionary papers of the AAMAS-2017 Workshops, 
where one paper will be selected from each AAMAS-2017 workshop.

Additionally, the "best paper" will be published by Springer in a book under 
the Communications in Computer and Information Science (CCIS) series. The book 
will be a compilation of the best papers of the AAMAS-2017 Workshops, where one 
paper will be selected from each AAMAS-2017 workshop. Authors of the selected 
most visionary paper and the best paper are expected to provide their latex 
files promptly upon request.

---

Encore Session

In addition to accepting original research, the workshop will also feature a 
new encore session for researchers to present their previously published papers 
(not at AAMAS'17) to more relevant audience at the workshop. We encourage 
submissions from all related areas. To present in the encore session, you only 
need to send us an email (haife...@usc.edu) attaching the paper which was 
accepted at another conference o

[UAI] [ECSQARU 2017] Second Call for Papers

[Alessandro Antonucci]

The Fourteenth European Conference on Symbolic and Quantitative
Approaches to Reasoning with Uncertainty

SECOND CALL FOR PAPERS
http://ecsqaru.idsia.ch

The biennial ECSQARU conferences constitute a major forum for advances
in the theory and practice of reasoning under uncertainty.
Contributions come from researchers interested in advancing the
scientific knowledge and from practitioners using uncertainty
techniques in real-world applications. The scope of the ECSQARU
conferences encompasses fundamental issues, representation, inference,
learning, and decision making in qualitative and numeric uncertainty
paradigms. Previous ECSQARU events have been held in Marseille (1991),
Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse
(2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona
(2009), Belfast (2011), Utrecht (2013), and Compiègne (2015).

ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth
International Symposium on Imprecise Probability: Theories and
Applications. The joint event will be held in Lugano (Switzerland), on
July 10-14, 2017.

::: SCOPE :::

For ECSQARU 2017 we invite submissions of conference papers on topics
which include but are not limited to:

- Algorithms for uncertain inference
- Applications of uncertain systems
- Argumentation systems
- Automated planning and acting under uncertainty
- Belief functions
- Belief revision & merging
- Classification & clustering
- Decision theory & decision graphs
- Default reasoning
- Description logics with uncertainty
- Foundations of reasoning under uncertainty
- Fuzzy sets & fuzzy logic
- Game theory
- Imprecise probabilities
- Inconsistency handling
- Information fusion
- Learning for uncertainty formalisms
- Logics for reasoning under uncertainty
- Markov decision processes
- Possibility theory & possibilistic logic
- Preferences
- Probabilistic graphical models
- Probabilistic logics
- Qualitative uncertainty models
- Rough sets
- Uncertainty & data

::: INVITED SPEAKERS :::

We are delighted of having the following invited speakers:

- Leila Amgoud (IRIT, France)
- Alessio Benavoli (IDSIA, Switzerland)
- Jim Berger (Duke University, USA)
- Didier Dubois (IRIT, France)
- Eyke Hüllermeier (Paderborn University, Germany)

::: PROCEEDINGS AND SUBMISSIONS :::

In accordance with the previous conferences, the proceedings of
ECSQARU 2015 will be published in the Springer Lecture Notes in
Artificial Intelligence series. Authors are requested to prepare their
conference papers in the LNCS/LNAI format. Submitted papers will be
evaluated by peer reviews based on originality, significance,
technical soundness, and clarity of exposition. Authors of accepted
papers are expected to attend the conference to present their work.
The instructions for submission and the author kit are available here:
http://ecsqaru.idsia.ch/submissions-ecsqaru/

::: IMPORTANT DATES :::

- Tuesday, February 21, 2017: Paper submission deadline
- Tuesday, April 18, 2017: Author notification
- Friday, April 28, 2017: Camera-ready copy due

::: IJAR SPECIAL ISSUE :::

Authors of selected papers will be invited to submit an extended
version of their work to a special issue of the International Journal
of Approximate Reasoning (IJAR, Elsevier).

::: SPRINGER YOUNG RESEARCHER AWARD :::
We also invite applications for the Springer Young Researcher Award.
The prize, granted by Springer, will be awarded to one young
researcher for excellent research in fields related to the ECSQARU
scope. The award is open to Master students, PhD students and young
post-doc researchers who have received their PhD in 2016 (or 2017).
Applicants should have submitted a paper (not necessarily as first
authors) to ECSQARU 2017. Applications should be received by the paper
submission deadline (February 21, 2017).
_

Alessandro Antonucci
IDSIA
Dalle Molle Institute
for Artificial Intelligence
Via Cantonale (Galleria 2)
CH-6928, Manno-Lugano, CH

mail: alessan...@idsia.ch
skype: alessandro.antonucci
tel: +41 916108515
web: www.idsia.ch/~alessandro
_

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[UAI] Special Session on ``Knowledge Discovery with Formal Concept Analysis and related formalisms" at ISMIS 2017, deadline January 22nd.

[Amedeo Napoli]

Special Session on ``Knowledge Discovery with Formal Concept Analysis and 
related formalisms (FCA4KD++)'' 

A Special Session co-located with the 23rd Int. Symposium on Methodologies for 
Intelligent Systems (ISMIS 2017) 
Warsaw, Poland, June 26-29, 2017 


OBJECTIVES 

Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at 
data analysis and classification. FCA allows one to build a concept lattice and 
a system of dependencies (rules, implications) which can be used for many 
purposes, e.g. knowledge discovery, learning, biclustering, knowledge 
representation, reasoning, ontology engineering, information retrieval, 
recommendation, and text processing. Accordingly, there are many links between 
FCA and Knowledge Discovery, e.g. pattern mining, but also between FCA and 
other formalisms such as databases (e.g. functional dependencies), rough sets, 
fuzzy sets... 

Recent years have shown an increased activity in FCA, in particular in 
extending the possibilities of FCA w.r.t. knowledge processing in all 
dimensions, such as work on pattern structures and relational concept analysis. 
These extensions allow FCA to deal with more complex than just binary data 
(e.g. RDF data), for data analysis, knowledge discovery and knowledge 
engineering. All these works extend the capabilities of FCA and offer new 
possibilities for discovery and representation activities. 

Accordingly, this special session will be interested in issues such as: 

- How can FCA support Knowledge Discovery and Knowledge Engineering, e.g. text 
mining, RDF data classification, knowledge representation, reasoning, 
information retrieval, recommendation... 
- How can FCA be extended in order to help researchers to solve new and complex 
problems. 
- How relations with other formalisms such as databases, rough sets, fuzzy 
sets, can be exploited for improving each formalism capabilities? 


TOPICS OF INTEREST include but are not limited to: 

- Concept lattices and related structures: description logics, pattern 
structures, relational structures, rough sets, fuzzy sets... 
- Knowledge discovery and data mining with FCA: association rules, itemsets and 
data dependencies, attribute implications, data pre-processing, redundancy and 
dimensionality reduction, classification and clustering. 
- FCA and Knowledge Engineering: ontology engineering, knowledge representation 
and reasoning. 
- Scalable algorithms for concept lattices ``in the large'': distributed 
aspects. 
- Applications of concept lattices: text mining, classification and mining in 
web of data, information retrieval, recommendation, visualization and 
navigation. 


SPECIAL SESSION ORGANIZERS: 

Davide Ciucci University Milano-Bicocca, Italy 
Sergei O. Kuznetsov Higher Schools of Economics, Moscow, Russia 
Amedeo Napoli LORIA (CNRS-Inria-Université de Lorraine), Nancy, France 

IMPORTANT DATES: 

Paper submission due: January 22, 2017 
Notification of review results: March 14, 2017 
Camera ready papers due: April 3, 2017 

PROCEEDINGS 
The accepted papers will be published within the ISMIS main conference 
proceedings (Springer LNAI Series). 

Paper submission 
Authors are invited to submit their manuscripts using the Springer LNCS/LNAI 
style, with a maximum of 10 pages. Detailed instructions are provided on the 
conference homepage. 
Papers should be submitted in PDF format via the ISMIS 2017 Online Submission 
System (please see http://ismis2017.ii.pw.edu.pl/paper_submission.php). 

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[UAI] Two postdoc jobs in machine learning at the University of Oxford, deadline 5 Jan

[Michael A Osborne]

Looking for new opportunities for the new year? Have a few loose ends 
over the holiday period? Why not apply for two post-doc opportunities in 
the University of Oxford?


Festive wishes
Mike

__
Michael A Osborne
Dyson Associate Professor in Machine Learning, Engineering Science
Co-Director, Oxford Martin Programme on Technology and Employment
Faculty Member, Oxford-Man Institute of Quantitative Finance
Official Fellow, Exeter College
University of Oxford
+44 (0)1865 273007
http://www.robots.ox.ac.uk/~mosb
http://twitter.com/maosbot

## Postdoctoral Research Assistant in Machine Learning

### Department of Engineering Science, Oxford

*Grade 7: £30,738 - £37,768 p.a.*

More details and applications here: https://is.gd/6PKtaR. The closing 
date for applications is **12.00 midday on 5th January 2017.**


We are seeking a full-time Postdoctoral Research Assistant to join the 
machine learning research group at the Department of Engineering Science 
(central Oxford). The post is fixed-term to 31 May 2018. The post will 
involve work on two projects (sequentially): the first funded by Pearson 
and Nesta (until 28 February 2017) and the second by the Health 
Foundation (thereafter).


Your role in both projects is to develop novel probabilistic machine 
learning algorithms for economic data characterising the future of 
employment. The first project aims to shed light on the mix of skills 
and competencies that will be required for the types of jobs that the US 
and UK economies will need in 15 years’ time, and has been described 
in blog posts from 
[Pearson](http://blog.pearson.com/learning-needs-a-plan-for-the-revolution-we-can-already-glimpse/) 
and 
[Nesta](http://www.nesta.org.uk/blog/employment-2030-skills-competencies-and-implications-learning), 
and in an article from 
[Quartz](http://qz.com/749629/what-skills-will-human-workers-need-when-robots-take-over-new-research-will-let-the-machines-decide/). 
The second project examines automation and computerisation in UK primary 
healthcare delivery; the project’s website is 
[here](http://healthautomation.oii.ox.ac.uk).


You should possess a good first degree in Engineering, Computer Science, 
Mathematics, Statistics, Economics or similar, with specialisation in 
probabilistic models and have or are about to complete a PhD in a 
relevant area. You will be required to upload a covering 
letter/supporting statement, including a brief statement of research 
interests (describing how past experience and future plans fit with the 
advertised position), CV and the details of two referees as part of your 
online application. Informal enquiries may be addressed to Prof Michael 
Osborne (email: m...@robots.ox.ac.uk).


The department holds an Athena Swan Bronze award, highlighting its 
commitment to promoting women in Science, Engineering and Technology.


## Postdoctoral Research Assistant in Machine Learning by Bayesian 
Optimisation for Experimental Research in Quantum Nanodevices


### Department of Materials, Parks Road, Oxford

*Grade 7: Salary in the range £30,738 - £34,576 p.a.*

More details and applications here: https://is.gd/mXuMDF.
The closing date for applications is **12.00 midday on 5th January 
2017.**


We are seeking to appoint a Postdoctoral Research Assistant whose aim 
will be to harness Machine Learning techniques for the process of 
scientific discovery. Duties will include development and application of 
Bayesian Optimisation for measurements of single-molecule devices, and 
training them on simulated experimental data. The post is available for 
up to 3 years and is under the supervision of Professor Andrew Briggs.


The project's overarching aim is to identify properties of molecular 
systems that are desirable in future information processing, especially 
lower power switching to minimise energy costs (and consequent 
environmental impact). You will engage and work collaboratively with 
others involved in the programme including Professor Michael Osborne, 
Department of Engineering Science, who will supervise the development of 
the machine learning methods.


You will have a good first degree and a completed doctorate (or nearly 
completed) in a relevant discipline. You will have expertise and 
experience in software engineering, along with demonstrated expertise in 
model-based machine learning.


The Department of Materials is actively promoting the provision of a 
family friendly working environment and together with the University of 
Oxford recognises the demands of work/life balance. Therefore for this 
project we encourage applications from candidates who wish either to 
hold these positions on a full-time, or part-time basis or need 
flexibility in their working hours and will discuss these opportunities 
with shortlisted applicants at interview.
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[UAI] CFP: 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017)

[Harris Papadopoulos]

[ please distribute - apologies for multiple postings ]

**

The 6th Symposium on Conformal and Probabilistic Prediction with 
Applications (COPA 2017)


June 14-16, 2017

Stockholm, Sweden

http://clrc.rhul.ac.uk/copa2017/

**

THEME

Quantifying the uncertainty of the predictions produced by 
classification and regression techniques is an important problem in the 
field of Machine Learning. Conformal Prediction is a recently developed 
framework for complementing the predictions of Machine Learning 
algorithms with reliable measures of confidence. The methods developed 
based on this framework produce well-calibrated confidence measures for 
individual examples without assuming anything more than that the data 
are generated independently by the same probability distribution (i.i.d.).


Since its development the framework has been combined with many popular 
techniques, such as Support Vector Machines, k-Nearest Neighbours, 
Neural Networks, Ridge Regression etc., and has been successfully 
applied to many challenging real world problems, such as the early 
detection of ovarian cancer, the classification of leukaemia subtypes, 
the diagnosis of acute abdominal pain, the assessment of stroke risk, 
the recognition of hypoxia in electroencephalograms (EEGs), the 
prediction of plant promoters, the prediction of network traffic demand, 
the estimation of effort for software projects and the back calculation 
of non-linear pavement layer moduli. The framework has also been 
extended to additional problem settings such as semi-supervised 
learning, anomaly detection, feature selection, outlier detection, 
change detection in streams and active learning. The aim of this 
symposium is to serve as a forum for the presentation of new and ongoing 
work and the exchange of ideas between researchers on any aspect of 
Conformal Prediction and its applications.


The symposium welcomes submissions introducing further developments and 
extensions of the Conformal Prediction framework and describing its 
application to interesting problems of any field.


TOPICS

The topics of the symposium include, but are not limited to:

- Non-conformity measures
- Venn prediction
- On-line compression modeling
- Theoretical analysis of Conformal Prediction techniques
- Applications/usages of Conformal Prediction
- Machine learning
- Pattern recognition
- Regression estimation
- Density estimation
- Algorithmic information theory
- Measures of confidence
- Applications in Bioinformatics and Medicine
- Applications in Information Security and Homeland Security
- Data mining and visualization
- Big data applications
- Data analysis applications in science and engineering
- Uncertainty quantification

SPECIAL SESSION

Novel Directions of Applying Machine Learning in Chemoinformatics

IMPORTANT DATES

- Paper Submission Deadline: February 10th, 2017
- Author Notifications: April 10th, 2017
- Camera-ready Submission Deadline: May 10th, 2017
- Symposium Dates: June 14th-16th, 2017

SUBMISSIONS

Authors are invited to submit original, English-language research 
contributions or experience reports. Papers should be no longer than 20 
pages formatted according to the well-known JMLR (Journal of Machine 
Learning Research) style. The LaTeX package for the style is available 
here. All aspects of the submission and notification process will be 
handled online via the EasyChair Conference System at:


https://easychair.org/conferences/?conf=copa2017

PUBLICATION

Submitted papers will be refereed for quality, correctness, originality, 
and relevance. Notification and reviews will be communicated via email. 
All accepted papers will be presented at the conference and published by 
JMLR Workshop and Conference Proceedings (volume 60).


Accepted papers in the special session “Machine Learning in 
Cheminfomatics” will be invited to submit an extended version of their 
manuscripts to a special issue in Journal of Cheminformatics.


General Chairs

- Alex Gammerman (UK)
- Vladimir Vapnik, AI Research Facebook, Columbia University USA 
and Royal Holloway, University of London, UK

- Volodya Vovk (UK)

Local Organising Committee

- Lars Carlsson - Sweden
- Ola Engkvist - Sweden
- Martin Eklund - Sweden
- Ernst Ahlberg Helgee - Sweden
- Ulf Norinder - Sweden
- Ola Spjuth - Sweden

Programme Committee Chairs

- Zhiyuan Luo - UK
- Harris Papadopoulos - Cyprus

SPONSORS

- Yandex
- AstraZeneca

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[UAI] CFP: 11th Int. Conference on Frontier of Computer Science and Technology (FCST-2017), 21-23 June 2017

[Haozhe Wang]

[Please accept our apologies if you receive multiple copies of this CFP]

 FCST-2017 CFP
***

*The 11th International Conference on Frontier of Computer Science and
Technology*

*(FCST-2017)*

*http://cse.stfx.ca/~FCST2017/ *

*Exeter, England, UK, 21-23 June 2017*

INTRODUCTION
=

The 11th International Conference on Frontier of Computer Science and
Technology (FCST-2017) is intended to facilitate effective communications
and exchanges all over the world. It will not only reflect the significant
progresses that are currently being made in computer science and
technology, but also represent a powerful and unique forum for discussing
innovative, cutting-edge advances in all aspects of computer science and
technology from researchers and practitioners in academia, government and
corporate institutions around the globe.

FCST 2017 will be held in Exeter, the capital city of Devon and provides
the county with a central base for education, medicine, religion, commerce
and culture. The city is also home to the magnificent Exeter Cathedral,
which dates back to Norman times. Exeter is also ideally placed to base a
trip to branch out visiting places such as the famous Dartmoor National
Park and the serene beaches of the North and South Devon coastlines.


 SCOPE AND TOPICS
=

FCST2017 is an international forum for presenting and discussing emerging
ideas and trends in the frontier of computer science and technology from
both the research community as well as the industry.

*Topics of interest include, but are not limited to:*

·   Track 1: Big Data Analytics and Applications

   - Track 2: Graphs and Interconnection networks
   - Track 3: Health and Biomedical Informatics
   - Track 4: Distributed Algorithms and Graph Computing
   - Track 5: Parallel, Distributed and Edge-Computing Systems
   - Track 6: Mobile Computing and Communication
   - Track 7: Cloud Computing and Data Center Management
   - Track 8: Global Networking and Cyber Security
   - Track 9: Multimedia Communication and Computing

IMPORTANT DATES

·   Workshop Proposal Due:   15 December 2016

·   Paper Submission Deadline:   23 February 2017

·   Authors Notification:  22 April 2017

·   Camera-Ready Paper Due: 15 May 2017

·   Early Registration Due:  15 May 2017

·   Conference Date:21-23 June 2017



PAPER SUBMISSION GUIDELINE
==

All papers need to be submitted electronically through the conference
submission website ( http://cse.stfx.ca/~FCST2017/sub/ ) with PDF format.
The materials presented in the papers should not be published or under
submission elsewhere. Each paper is limited to 8 pages (or 10 pages with
over length charge) including figures and references using IEEE Computer
Society Proceedings Manuscripts style (two columns, single-spaced, 10
fonts). If the authors believe that more details are essential to
substantiate the claims of the paper, they may include a clearly marked
appendix (with no space limit) that will be read at the discretion of the
Program Committee. You can confirm the IEEE Computer Society Proceedings
Author Guidelines at the following web page:

http://www.computer.org/web/cs-cps/

Manuscript Templates for Conference Proceedings can be found at

https://www.ieee.org/conferences_events/conferences/publishing/
templates.html

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). At
least one of the authors of any accepted paper is requested to register the
paper at the conference.
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[UAI] a conference on uncertainty in 2018: Mark your calendars

[Kreinovich, Vladik]

Dear Friends, 

The 5th International Symposium on Integrated Uncertainty in Knowledge 
Modelling and Decision Making IUKM'2018 will be held on March 15-17 in Hanoi 
and Halong Bay, Vietnam, the plan is to meet in Hanoi on March 15-16 and to go 
to Halong Bay on March 17. 

Please mark your calendars.

The information about the previous conference of this series is available at 
its website http://www.jaist.ac.jp/IUKM/IUKM2016/

-Original Message-
From: Van-Nam HUYNH [mailto:hu...@jaist.ac.jp] 
Sent: Wednesday, December 21, 2016 3:07 AM

We will have the 6th IUKM held during 15-17 March 2018 in Hanoi and Halong Bay.
Please mark your calendar for it.

Best,
Nam


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