[UAI] 2nd CFP: Young Researchers’ Roundtable on Spoken Dialogue Systems (YRRSDS) 2018

[Kalesha Bullard]

*The 14th annual Young Researchers’ Roundtable on Spoken Dialogue Systems
(YRRSDS) will be held at RMIT, Melbourne, Australia (collocated with ACL
and SIGdial) on July 10-11, 2018.YRRSDS (www.yrrsds.org
) is an annual workshop for graduate students,
postdoctoral students, and junior researchers working on spoken dialogue
systems in both academia and industry. The workshop serves as an
interdisciplinary forum for creative thinking about current issues in
spoken dialogue systems research and helps to create an international
network of young researchers working in the field. We invite researchers at
an early stage of their career (no age limit) to submit a 2-page position
paper. This should include their past, present and future work, a short
bio, and topic suggestions for discussions. Poster presentation by all
participants is expected. However, posters need only present current work
and not necessarily be from a published paper. Submission topics include,
but are not limited to:•  Open domain, task oriented dialogue, and chat
systems•  Models of dialogue: statistical, symbolic, and hybrid approaches•
 Dialogue state tracking and policy learning for dialogue management•
 Spoken language understanding and natural language generation for
dialogue•  Evaluation methodology for dialogue systems•  Semantics,
pragmatics, and context in dialogue systems•  Incremental spoken dialogue
systems•  Situated interaction with virtual and robotic agents•
 Psycholinguistic influences on dialogue system design•  Establishing
social relationships and engagement with the user•  Data collection and
dataset sharing for statistical models•  Industry development cycles,
requirements, and applicationsImportant DatesSubmission open: 9 March
2018Submission deadline: 27 April 2018Author notification: 25 May
2018Registration opens: 1 June 2018YRRSDS 2018: 10-11 July 2018Looking
forward to meet you there!Best wishes,YRRSDS 2018 organizing committee:Lina
Brixey   USC Institute for Creative
TechnologiesKalesha BullardGeorgia Institute of
TechnologyAdriana CamachoUniversity of Texas at El
PasoRamesh Manuvinakurike University of Southern CaliforniaEran
Raveh  Saarland UniversityZahra Razavi
 University of RochesterMaria Schmidt
 Daimler AG/Ulm UniversityDamiano Spina
   RMIT University, MelbourneJohanne Trippas
 RMIT University, MelbourneTiancheng Zhao
Carnegie Mellon University*
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[UAI] EKAW 2018 : Second call for workshops ans tutorials

[Cassia TROJAHN]

Call for workshops and tutorials
In conjunction with EKAW 2018
https://project.inria.fr/ekaw2018/
November 12 - 16 Nancy, France

Introduction
The International Conference on Knowledge Engineering and Knowledge Management 
(EKAW) is concerned with all aspects of eliciting, acquiring, modelling and 
managing knowledge, as well its role in the construction of knowledge-intensive 
systems and services for the semantic web, knowledge management, e-business, 
natural language processing, intelligent information integration, etc. This 
year, EKAW will pay special attention to topics related to knowledge and 
artificial intelligence.

Besides the regular conference tracks, EKAW will host a number of workshops and 
tutorials on topics related to the theme of the conference. We hope our 
workshops to provide an informal setting where participants have the 
opportunity to discuss specific technical topics in an atmosphere that fosters 
the active exchange of ideas; and tutorials to enable attendees to fully 
appreciate current issues, main schools of thought, and possible application 
areas.

Topics of Interest
In order to meet these goals, workshop/tutorial proposals should address topics 
that satisfy the following criteria:
the falls in the general scope of EKAW 2018;
there is a clear focus on a specific technology, problem or application;
there is a sufficiently large community interested in the topic.

Submission Guidelines
Proposals should be submitted via EasyChair at: 
https://easychair.org/conferences/?conf=ekaw2018wst Submissions should be a 
single PDF file of no more than 5 pages, specifying "Workshop Proposal" or 
"Tutorial Proposal", and should contain the following information.

Workshop proposals:
Title.
Abstract (200 words).
Motivation on why the topic is of particular interest at this time and its 
relation to the main conference topics.
Workshop format, discussing the mix of events such as paper presentations, 
invited talks, panels, and general discussion.
Intended audience and expected number of participants.
List of (potential) members of the program committee (at least 50% have to be 
confirmed at the time of the proposal, confirmed participants should be marked 
specifically).
Indication of whether the workshop should be considered for a half-day or 
full-day.
The tentative dates (submission, notification, camera-ready deadline, etc.)
Past versions of the workshop, including URLs as well as number of submissions 
and acceptance rates.
Details of the organisers (name, affiliation, email address, homepage) and 
short CV.

We strongly advise having more than one organiser, preferably from different 
institutions, bringing different perspectives to the workshop topic.
We welcome, and will prioritise, workshops with creative structures and 
organisations that attract various types of contributions and ensure rich 
interactions.

Tutorial proposals:
Title.
Abstract (200 words).
Relation to the conference topics, i.e. why it will be of interest to the 
conference attendants.
If the tutorial, or a very similar tutorial, has been given elsewhere, 
explanation of the benefit of presenting it again to the EKAW community.
Overview of content, description of the aims, presentation style, 
potential/preferred prerequisite knowledge.
Indication on whether the tutorial should be considered for a half-day or 
full-day.
Intended audience and expected number of participants.
Audio-visual or technical requirements and any special room requirements (for 
hands-on sessions, any software needed and download sites must be provided by 
the tutorial presenters).
Details of the presenters (name, affiliation, email address, homepage) and 
short CV including also their expertise, experiences in teaching and in 
tutorial presentation.

Workshop Organiser Responsibilities
The organisers of accepted workshops are expected to:
prepare a workshop webpage (linked to the official EKAW website) containing the 
call for papers and detailed information about the workshop organisation and 
timelines.
be responsible for the workshop publicity.
be responsible for their own reviewing process, decide upon the final program 
content and report the number of submissions and accepted papers to the 
workshop chair.
be responsible for publishing electronic proceedings (e.g. on the CEUR-WS 
website).
ensure workshop participants are informed they have to register to the main 
conference and the workshop.
schedule, attend and coordinate their entire workshop.

Tutorial Organisers Responsibilities
The proposers of accepted tutorials are expected to
prepare a tutorial webpage (linked to the official EKAW website) containing 
detailed information about the tutorial
prepare the tutorial materials
publicity distribute materials to participants
schedule, attend and coordinate their tutorial.

Important Dates
Proposals due: 9 May, 2018
Notifications: 23 May 2018

Suggested Timeline for Workshops
Workshop website up and calls: 1 June 2018
Deadline 

[UAI] Call for Papers 47 JAIIO - ASAI 2018

[Guillermo Rodriguez]

 *Call for Papers**47 JAIIO*

Organized by Facultad de Ingeniería - Universidad de Palermo, SADIO

September 3rd-7th, 2018

Ciudad de Buenos Aires, Argentina
ASAI - Argentine Symposium on Artificial Intelligence (JAIIO)





SADIO organizes this event that aims at bringing the Artificial
Intelligence communities of Latin America in general and Argentina in
particular in a forum to discuss ideas, experiences and research results
among educators, researchers, students and industry representatives. The
event is part of the 47 JAIIO. It will take place in the  Facultad de
Ingeniería - Universidad de Palermo from September 3rd to September 7th
2018, with the collaboration of the Argentinean Association of Artificial
Intelligence (AAIA). The event seeks for original contributions in the
areas of Artificial Intelligence and Operations Research, including
academic research as well as influential industrial and business
applications that yield lessons learned from their development.

In order to bring the academic and professional sectors together,
companies, professionals, educators and researchers are invited and
encouraged to contribute with submissions following the traditional
research work format as well as with concrete applications, case studies,
specific tools, technology transfer activities and practical research
experience reports related to the themes of the symposium. This type of
work can be submitted in any of the modalities mentioned below.
*Topics of interest:*

Suggested, but not exclusive, topics of interest for submissions include:

Intelligent agents and multi-agent systems

Smart environments

Machine learning

Automated reasoning

Knowledge representation

Bio-inspired computing

Natural language processing and linguistic computing

Artificial neural networks

Fuzzy logic

Expert systems and knowledge-based systems

Artificial life

Pattern recognition

Artificial intelligence in data analysis

Clustering

Artificial vision

Data mining

Decision support system

Formal and empirical aspects of artificial intelligence

Computer interaction

Personalization and recommendation systems

Planning and scheduling

Robotics

Innovative applications of artificial intelligence: big-data,
bioinformatics and biological computing, education, social networks,
virtual reality, etc.
*Important dates:*

Submission deadline: *April 30, 2018.*

Notification of acceptance: June 22, 2018.

Deadline for author registration: July 09, 2018.

Deadline for camera-ready papers submission: July 09, 2018.

Conference dates: September 03-07, 2018.

*Accepted papers:*

The evaluation will follow the same standards of previous ASAI. Accepted
papers will be published in the symposium proceedings.* The best papers
from ASAI will be invited to an special issue of SADIO Electronic Journal
and Revista Iberoamericana de Inteligencia Artificial (*
*http://journal.iberamia.org* *), both of
them indexed in Latindex.*

At least one of the authors of  the accepted article must be registered in
JAIIO before the deadline for sending the camera-ready version. In
addition, authors are expected to attend the symposium on the date and time
indicated for presenting the accepted article. Please note that articles
whose author does not attend the presentation will be removed from the
proceedings. Eventually, authors can authorize a third-party as an
alternate presenter of the article




*Submission format:*

All contributions should be submitted in PDF format and should use the LNCS
paper size available in: http://www.springer.de/comp/lncs/authors.htm
. Contributions should be
written in Spanish, Portuguese or English. They will be reviewed by an
international Program Committee with members coming from academia and
industry. The final program and proceedings will only include papers with
at least one author registered in the AUTHOR category of the conference
before the camera-ready submission deadline.

*Four *types of contributions are possible:

*Full papers *up to *14 pages**,* describing original work that has not
been previously published, accepted for publication nor is currently under
review. These papers will undergo a review process and those that are
accepted will be presented orally during the conference and published in
the JAIIO proceedings.

*Short papers* up to *4 pages*, describing ongoing research work. These
papers will undergo a review process and those that are accepted will be
presented orally during the conference and published in the JAIIO
proceedings.

*Communications.* Through this type of contribution, authors are expected
to inform the community about recent publications in high-impact journals
or international conferences. Contributions must be written in 

[UAI] 2nd call: Approximate Bayesian Computation in Edinburgh [June 24]

[Michael Gutmann]

*Note: Early registration for ISBA 2018 closes on April 15th. Abstract
submission for our workshop is open until May 1st*

It is our pleasure to invite contributions to the ISBA Workshop on
Approximate Bayesian Computation (ABC) in Edinburgh.

~~~

ABC IN EDINBURGH

When:  June 24, 2018
Where: Edinburgh, UK
Web:   https://sites.google.com/view/abc-in-edinburgh/

~~~

Registration:
Registration is done via the ISBA homepage,
https://bayesian.org/isba2018/Registration-Abstract-Submission/
(our workshop is part of the "short courses")
The ISBA early registration deadline is April 15, 2018

Abstract submission:
If you would like to present your work as a poster or contributed talk,
please send us your abstract by
May 1, 2018
to abcinedinbu...@gmail.com in plain text.

We will choose contributed talks from the submitted abstracts.

The workshop is aimed at specialists and novices interested in statistical
inference with complex models where exact computation of the likelihood
function is not possible. The meeting will bring together researchers and
practitioners in approximate Bayesian computation, likelihood-free
inference, and related methods to discuss recent work on theoretical
underpinnings, computational advances, and applications.

We look forward to seeing you in Edinburgh.

The Organisers
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[UAI] CFP: Privacy in Machine Learning and Artificial Intelligence (ICML’18 Workshop)

[Borja Balle Pigem]

*Privacy in Machine Learning and Artificial Intelligence (ICML’18 Workshop)*


   - *Submission deadline*: May 14, 2018 (11pm59 CET)
   - *Notification of acceptance*: May 29, 2018
   - *Workshop date*: July 14/15, 2018, Stockholm
   - *Website*: https://pimlai.github.io/pimlai18/


We invite submissions of recent work on privacy in machine learning and
artificial intelligence, both theory and application-oriented. Similarly to
how ICML, IJCAI, AAMAS, and other FAIM workshops are organized, all
accepted abstracts will be part of a poster session held during the
workshop. Additionally, the PC will select a subset of the abstracts for
short oral presentations. At least one author of each accepted abstract is
expected to represent it at the workshop.

Submissions in the form of extended abstracts must be *at most 2 pages long*
(not including references) and adhere to the ICML format
.
Abstracts must be submitted through EasyChair
 by *May 14* (11.59pm
CET). We *do accept* submissions of work recently published or currently
under review. Submissions do not need to be anonymized. The workshop will
not have formal proceedings, but authors of accepted abstracts can choose
to have their work published on the workshop webpage.

*Solicited topics include, but are not limited to:*

   - Differential privacy: theory, applications, and implementations
   - Privacy in internet of things and multi-agent systems
   - Privacy-preserving machine learning
   - Trade-offs between privacy and utility
   - Programming languages for privacy-preserving data analysis
   - Statistical notions of privacy, including relaxations of differential
   privacy
   - Empirical and theoretical comparisons between different notions of
   privacy
   - Privacy attacks
   - Policy-making aspects of data privacy
   - Secure multi-party computation techniques for machine learning
   - Learning on encrypted data, homomorphic encryption
   - Distributed privacy-preserving algorithms
   - Normative approaches to privacy in AI
   - Privacy in autonomous systems
   - Online social networks privacy


*Workshop Organizers*

   - Borja Balle (Amazon Research Cambridge)
   - Antti Honkela (University of Helsinki)
   - Kamalika Chaudhuri (UCSD CSE)
   - Beyza Ermis (Amazon Research Berlin)
   - Jose Such (King's College London)
   - Mijung Park (MPI Tuebingen)


*Program Committee*

   - Adria Gascon (Turing Institute)
   - Anand Sarwate (Rutgers University)
   - Aurelien Bellet (INRIA)
   - Carmela Troncoso (EPFL)
   - Christos Dimitrakakis (Chalmers University)
   - Emiliano De Cristofaro (UCL)
   - Gaurav Misra (University of New South Wales)
   - Joseph Geumlek (UCSD CSE)
   - Marco Gaboardi (University of Buffalo, SUNY)
   - Maziar Gomrokchi (McGill University)
   - Michael Brueckner (Amazon Research Berlin)
   - Nadin Kokciyan (King's College London)
   - Olya Ohrimenko (Microsoft Research)
   - Ozgur Kafali (University of Kent)
   - Pauline Anthonysamy (Google)
   - Peter Kairouz (Stanford University)
   - Phillipp Schoppmann (Humboldt)
   - Shuang Song (UCSD CSE)
   - Yu-Xiang Wang (Amazon AWS)
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[UAI] Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Early registration reminder

[asdm]

Dear colleagues,

We would like to remind you that early registration for the Madrid UPM Advanced 
Statistics and Data Mining summer school is open until June 1st. The summer 
school will be held in Boadilla del Monte, near Madrid, from June 25th to July 
6th. This year's edition comprises 12 week-long courses (15 lecture hours 
each), given during two weeks (six courses each week). Attendees may register 
in each course independently. No restrictions, besides those imposed by 
timetables, apply on the number or choice of courses.

Our summer school has been an INOMICS world top ten summer schools in 
mathematics and statistics from 2015 to 2018. See the last year's ranking at 
http://bit.ly/2oR00GI

Early registration is *OPEN*. Extended information on course programmes, price, 
venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/ASDM

There is a 25% discount for members of Spanish AEPIA and SEIO societies.  

Please, forward this information to your colleagues, students, and whoever you 
think may find it interesting.

Best regards,

Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Santiago Gil Begué.
-- School coordinators.

*** List of courses and brief description ***

* Week 1 (June 25th - June 29th, 2018) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
  Basics of Bayesian networks. Inference in Bayesian networks. Learning 
Bayesian networks from data. Real applications. Practical demonstration: GeNIe, 
Weka, Bayesia, R.

Course 2: Time Series(15 h)
  Basic concepts in time series. Linear models for time series. Time series 
clustering. Practical demonstration: R.

2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
  Introduction. Assessing the performance of supervised classification 
algorithms. Preprocessing. Classification techniques. Combining multiple 
classifiers. Comparing supervised classification algorithms. Practical 
demonstration: Weka. 

Course 4: Statistical Inference (15 h)
  Introduction. Some basic statistical test. Multiple testing. Introduction 
to bootstrap methods. Introduction to Robust Statistics. Practical 
demonstration: R.  

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
  Introduction. Training algorithms. Learning and Optimization. MLPs in 
practice. Deep Networks. Practical session: Python with keras and Jupyter 
notebooks.

Course 6: Big Data with Apache Spark (15 h)
  Introduction. Spark framework and APIs. Data processing with Spark. Spark 
streaming. Machine learning with Spark MLlib. 


* Week 2 (July 2nd - July 6th, 2018) *

1st session: 9:45-12:45 
Course 7: Bayesian Inference (15 h)
  Introduction: Bayesian basics. Conjugate models. MCMC and other 
simulation methods. Regression and Hierarchical models. Model selection. 
Practical demonstration: R and WinBugs.

Course 8: Unsupervised Pattern Recognition (15 h)
  Introduction to clustering. Data exploration and preparation. 
Prototype-based clustering. Density-based clustering. Graph-based clustering. 
Cluster evaluation. Miscellanea. Conclusions and final advise. Practical 
session: R.

2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
  Information Retrieval 101. Unsupervised Text Processing. Representation 
Learning. Information Extraction. Natural Language Understanding. Practical 
session: Python, with Jupyter notebooks.

Course 10: Feature Subset Selection (15 h)
  Introduction. Filter approaches. Embedded methods. Wrapper methods. 
Additional topics. Practical session: R and Weka.  
  
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
  Introduction. SVM models. SVM learning algorithms. Regularized learning. 
Convex optimization for regularized learning. Practical session: Python with 
scikit-learn, Jupyter notebooks.
  
Course 12: Hidden Markov Models (15 h)
  Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden 
Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov 
Models. Unit selection and clustering. Speaker and Environment Adaptation for 
HMMs. Other applications of HMMs. Practical session: HTK.


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