[UAI] [CfP] ILP 2018 - IMPORTANT: Abstract Submission Updated - Conference Track

[Riccardo Zese]

Apologize for multiple posting.

--
ILP 2018 Call for Papers
The 28th International Conference on Inductive Logic Programming

September 2nd - 4th, Ferrara, Italy
http://ilp2018.unife.it/
--

The deadline for the submission of papers of categories 1 and 2
has been extended. The new deadline is: 2nd June 2018.

IMPORTANT: to help reviewers in their work we set a
new abstract submission deadline.
The deadline is: 28th May 2018.
This is a strict deadline.

Important Dates:
* Papers of cat. 1 and 2 abstract submission: 28th May 2018 (NEW)
* Papers of cat. 1 and 2 submission: 2nd June 2018 (EXTENDED)
* Papers of cat. 1 and 2 notification:  3rd July  2018
* Work in progress submissions and already
  published papers submission:18th July  2018
* Work in progress submissions and already
  published papers notification: 23rd July  2018

The deadline on each of these dates is midnight, CEST (Central
 European Summer Time - UTC +2)


CONFERENCE TRACK
--
We solicit four types of submissions:

1. Long papers describing original mature work containing appropriate
experimental evaluation and/or representing a self-contained
theoretical contribution. Accepted long paper submissions will be
split in regular papers, accepted for appearing in Springer LNAI
conference proceedings, and up-and-coming papers, accepted for
appearing in CEUR proceedings, depending on the maturity of the
submitted work. Regular papers will be assigned a long time slot for
presentation, up-and-coming papers will be assigned a shorter time
slot for presentation.

2. Short papers describing original work in progress presenting
preliminary results, brief accounts of original ideas, and other
relevant work of potentially high scientific interest but not yet
qualifying for the long paper category. Accepted short papers will be
assigned a reduced time slot for presentation and will be published in
CEUR proceedings.

3. Work in progress describing ideas and proposals that the
author(s) would like to present at the conference. Submissions will be
accepted/rejected on the grounds of relevance. Accepted works will
be assigned a reduced time slot and will be published on the
conference website but will not appear in the conference proceedings.

4. Papers relevant to the conference topics and recently published or
accepted for publication by a first-class conference such as
ECML-PKDD, ICML, KDD, ICDM, AAAI, IJCAI, etc. or journal
such as MLJ, DMKD, JMLR etc. These will be accepted/rejected on
the grounds of relevance and quality of the original publication venue.
Authors of accepted papers will be assigned a reduced time slot for
presentation and will not appear in the conference proceedings,
however a link to the original work will be inserted in CEUR.


Submissions of long papers and short papers (categories 1 and 2) must
not have been published or be under review for a journal or for
another conference with published proceedings.

Submissions must be in Springer LNAI format, according to the Springer
LNCS author instructions downloadable at
http://www.springer.com/comp/lncs/Authors.html

Already published papers should be submitted in their original format
and the authors should indicate the original publication venue.

Submissions will be managed via Springer OCS at the following link:
https://ocs.springer.com/ocs/home/ILP2018.
When submitting, please choose among  the 4 paper categories:
(1) LONG, (2) SHORT, (3) WORK IN PROGRESS and (4) ALREADY
PUBLISHED.
Reviewers will be asked whether papers submitted in category 1 should
be published, if accepted, in Springer LNAI or CEUR Proceedings.

Additional information about the submission guidelines is available at
http://ilp2018.unife.it/call-for-papers/conference-track.

Publication:
Regular papers will be included in the conference proceedings, to be
published by Springer Verlag in the "Lecture Notes in Artificial
Intelligence" (LNAI) Series. Regular papers must not exceed 15 pages
including references.

Up-and-coming and short papers will be included in the Late Breaking
Papers proceedings, to be published by Sun SITE Central Europe CEUR
Workshop proceedings. Up-and-coming papers must not exceed 15 pages
including references, while short papers must not exceed 7 pages
including references.

Work in progress will be published on the conference website
but will not be included in the conference proceedings. Given their
nature of preliminary proposals, they must be of 1 to 6 pages
including references.

A link to already published papers will be included in the Late Breaking
Papers CEUR proceedings.

At least one of the authors of accepted papers/work in progress
must register for the conference, and present his work.

Awards

The conference has established several awards for the best 

[UAI] CFP: **Extended Deadline** ICML 2018 Workshop on Modern Trends in Nonconvex Optimization for Machine Learning

[Chi Jin]

 EXTENDED DEADLINE:
Due to high volume of requests for extending the submission deadline, the
IMPORTANT DATES are adjusted as follows:

   - Submission deadline: May 25, 2018 (23:59 PDT)
   - Acceptance notification: June 5, 2018



Modern Trends in Nonconvex Optimization for Machine Learning
ICML Workshop, Stockholm, Sweden, July 14-15, 2018

Website: https://sites.google.com/view/icml2018nonconvex/

We welcome paper submissions to the workshop on "Modern Trends in Nonconvex
Optimization for Machine Learning" at ICML 2018.
This year, ICML workshops will be held as a part of the Federated
Artificial Intelligence Meeting (FAIM)
.
Topics of interest include but are not limited to:

   - Landscape analysis/design of nonconvex models
   - New nonconvex algorithms
   - Novel analysis/understanding of nonconvex methods
   - Robust optimization
   - Generalization performance of nonconvex methods
   - Application of nonconvex optimization to diverse application domains
   such as vision, natural language processing, reinforcement learning, social
   networks, health informatics.


Submissions will be accepted as poster and (or) spotlight presentations.
An award (sponsored by Google) will be given to the best paper.

SUBMISSION INSTRUCTIONS:
All submissions must be in PDF format using the ICML style.

   - The length is limited to at most 4 pages, excluding references.
   - The submissions may include an optional supplementary appendix.
   - The submissions should follow double blind policy and dual submission
   policy in ICML.

Formal submissions should be sent via Email to
icml2018noncon...@gmail.com before
deadline.


OVERVIEW:
Nonconvex optimization has become a core topic in modern machine learning
(ML). A wide variety of ML models and subfields leverage nonconvex
optimization, including deep learning, reinforcement learning,
matrix/tensor factorization models, and probabilistic (Bayesian) models.
Classically, nonconvex optimization was widely believed to be intractable
due to worst-case complexity results. However, recently the community has
seen rapid progress in both the empirical training of nonconvex models and
the development of their theoretical understanding.

Advances on the theoretical side range from understanding the landscape of
various nonconvex models to efficient algorithms in the offline,
stochastic, parallel and distributed settings utilizing zeroth, first, or
second-order information. Recent guarantees not only ensure finding
stationary point (points where the gradient vanishes), but also attack
problems raised by spurious local minima and saddle points (locally and
globally). In parallel, the field has also witnessed significant progress
driven by practitioners. Novel nonconvex models such as residual networks
and LSTMs, as well as methods such as batch normalization and ADAM for
accelerating their training, have become state-of-the-art empirical methods.

This workshop will bring together experts in machine learning, artificial
intelligence, and optimization to tackle some of the conceptual and
practical bottlenecks that are hindering progress and to explore new
directions. Examples include (but are not limited to) implicit
regularization, landscape design, homotopy methods, adaptive algorithms and
robust optimization. The workshop hopes to facilitate cross-domain
discussion and debate on topics such as these and to reshape this rapidly
progressing field.


INVITED SPEAKERS:

   - Yoshua Bengio (U Montreal)
   - Coralia Cartis (Oxford)
   - Dmitriy Drusvyatskiy (U Washington)
   - Elad Hazan (Princeton)
   - Sham Kakade (U Washington)
   - Sergey Levine (UC Berkeley)
   - Suvrit Sra (MIT)



ORGANIZING COMMITTEE:

   - Anima Anandkumar (Caltech)
   - Leon Bottou (Facebook)
   - Chi Jin (UC Berkeley)
   - Michael I. Jordan (UC Berkeley)
   - Hossein Mobahi (Google)
   - Katya Scheinberg (Lehigh)
___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] IEEE ICDM 2018: Second Call for Papers

[ICDM 2018]

ICDM 2018: The 18th IEEE International Conference on Data Mining

==

November 17 - 20, 2018

Sentosa, Singapore

http://icdm2018.org/



*Call for Papers*



*Important dates*

==

*All deadlines are at 11:59PM Pacific Daylight Time.*

o   Full paper submissions: June 5, 2018

o   Demo and tutorial proposals: July 15, 2018

o   Workshop paper submissions: August 7, 2018

o   Conference paper, tutorial, demo notification: August 17, 2018

o   Workshop paper notification: September 4, 2018

o   Camera-ready deadline and copyright forms: September 15, 2018

o   Conference dates: November 17 - 20, 2018



The IEEE International Conference on Data Mining (ICDM) has established
itself as the world’s premier research conference in data mining. It
provides an international forum for presentation of original research
results, as well as exchange and dissemination of innovative and practical
development experiences. The conference covers all aspects of data mining,
including algorithms, software, systems, and applications. ICDM draws
researchers, application developers, and practitioners from a wide range of
data mining related areas such as statistics, machine learning, pattern
recognition, databases, data warehousing, data visualization,
knowledge-based systems, and high-performance computing. By promoting
novel, high-quality research findings, and innovative solutions to
challenging data mining problems, the conference seeks to advance
the state-of-the-art in data mining.



*Topics of Interest*

==

Topics of interest include, but are not limited to:

oFoundations, algorithms, models and theory of data mining, including
big data mining.

oMachine learning and statistical methods for data mining.

oMining from heterogeneous data sources, including text,
semi-structured, spatio-temporal, streaming, graph, web, and multimedia
data.

oData mining systems and platforms, and their efficiency, scalability,
security and privacy.

oData mining for modeling, visualization, personalization, and
recommendation.

oData mining for cyber-physical systems and complex, time-evolving
networks.

oApplications of data mining in social sciences, physical sciences,
engineering, life sciences, web, marketing, finance, precision medicine,
health informatics, and other domains.



We particularly encourage submissions in emerging topics of high importance
such as data quality, time-evolving networks, big data mining and
analytics, cyber-physical systems, and heterogeneous data integration and
mining.



*Submission Guidelines*

==

Paper submissions should be limited to a maximum of ten (10) pages, in the
IEEE 2-column format (link

), including the bibliography and any possible appendices. Submissions
longer than 10 pages will be rejected without review. All submissions will
be triple-blind reviewed by the Program Committee on the basis of technical
quality, relevance to scope of the conference, originality, significance,
and clarity. The following sections give further information for authors.



*Triple Blind Submission Guidelines*

==

Since 2011, ICDM has imposed a triple blind submission and review policy
for all submissions. Authors must hence not use identifying information in
the text of the paper and bibliographies must be referenced to preserve
anonymity. Any papers available on the Web (including Arxiv) no longer
qualify for ICDM submissions, as their author information is already public.

*What is triple blind reviewing?*

The traditional blind paper submission hides the referee name from the
authors. The triple-blind paper submission and review, in addition, also
hides the authors’ names from the referees, and the referees’ names during
discussion. The names of authors and referees remain known only to the PC
co-chairs, and the authors names are disclosed only after the ranking and
acceptance of submissions are finalized. Although there is much debate on
the merits and perceived benefits of triple blind reviewing, these are not
discussed here. Our main purpose is to implement this policy in ICDM toward
understanding the influence of the authors’ identity, whether conscious or
unconscious, on the reviewer’s attitude toward a submission. Hence it is
imperative that all authors of ICDM submissions work on concealing their
identity in the content of the paper. It does not suffice to simply remove
the authors’ names from the first page.



*Best Paper Awards*

==

Awards will be conferred at the conference to the authors of the best paper
and the best student paper. A selected number of best papers will be
invited for possible inclusion, in an expanded and revised form, in the
Knowledge and Information Systems journal published by Springer.



*Attendance*

==

ICDM is a premier forum for presenting and 

[UAI] CFP: Offline Evaluation for Recommender Systems @ RecSys 2018

[Thorsten Joachims]

REVEAL 2018: Offline Evaluation for Recommender Systems

Workshop at ACM RecSys 2018, Vancouver, CA
October 7, 2018
https://sites.google.com/view/reveal2018/home

One of the main goals of offline metrics for recommender systems is to indicate 
the future online performance of the same recommender system in an online 
setting, as measured by various user-based utility metrics, such as the time 
spent by a user on the website, the number of media items consumed, the number 
of attributed sales or the reported user satisfaction. However, practitioners 
often observe significant differences between offline and online results of a 
new algorithm, and therefore tend to mostly rely on online methods such as A/B 
testing to evaluate their algorithms.

To this end, we welcome contributions that advance the current state of 
knowledge on offline recommendation metrics that correlate well with the final 
performance of the online recommender system; or new recommendation algorithms 
that directly optimize for online metrics.

We invite submissions of 2-8 pages to be presented as talks or posters. The 
reviews will be single-blind.

Potential contributions include (but are not limited to):

  *   Framing the problem: what are we trying to solve exactly? This includes 
work on the theoretical foundations of the recommendation task and on the 
corresponding offline metrics:
 *   Recommendation as a counterfactual inference problem. This encompasses 
all work on new offline metrics and new optimization criteria for 
recommendation using ideas from causal inference, such as: Learning from data 
Missing Not at Random (MNAR), Counterfactual Risk Minimization (CRM) and Batch 
Learning from Bandit Feedback (BLBF), Deconvolving recommendation-lead from 
organic feedback in logged data, Causal Inference using domain adaptation
 *   Recommendation as a reinforcement learning problem. This is aimed to 
all work that frames recommendation as a reinforcement learning task and that 
borrows ideas from RL on evaluating recommendation policies, such as the use of 
simulation in recommender systems evaluation.
  *   Studies on offline-online metrics correlation for Recommendation.
  *   More realistic offline metrics.
 *   Offline metrics for slate recommendation evaluation.
 *   Offline metrics for logged data with sequential recommendation 
exposure and delayed feedback.
  *   Datasets and toolkits.
 *   New exploration schemes to improve the collection of more informative 
offline datasets.
 *   Open datasets. All recommendation dataset releases that aim to somehow 
bridge the gap between offline and online metrics.
 *   Toolkits. Including new software for evaluation metrics, reproducible 
research and baseline algorithms.

Submission deadline: July 28th, 2018 via our CMT 
website.
---
Thorsten Joachims
Chair, Department of Information Science
Professor, Department of Computer Science
Cornell University
http://www.joachims.org/

___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] IEEE PerCom 2019 Call for Workshop Proposals - Submission Deadline June 1st

[hassan.ghasemzadeh]

CALL FOR WORKSHOP PROPOSALS

The Seventeenth Annual IEEE International Conference on Pervasive 
Computing and Communications (PerCom 2019)

Kyoto, Japan, March 11-15, 2019
www.percom.org 

IEEE PerCom, now in its seventeenth year, is established as the premier 
annual scholarly venue in the areas of pervasive computing and 
communications. Pervasive computing and communications have evolved into 
highly active areas of research; they have found their way into many 
current commercial systems due to the tremendous advances in a broad 
spectrum of technologies and topics including wireless networking, 
mobile and distributed computing, sensor systems, ambient intelligence, 
and smart devices.


The PerCom 2019 Workshop Committee invites proposals for one-day or 
half-day workshops affiliated with the conference. The purpose of the 
workshops is to provide a venue for presenting novel ideas in a less 
formal and typically more focused area than the main conference. Note 
that PerCom workshops are expected to stimulate discussions on 
state-of-the-art, emerging, visionary, and perhaps controversial topics.


Workshops should be organized to promote such lively interaction. Plans 
to promote interaction and discussion should be clearly addressed in the 
workshop proposals. The organizers of accepted workshops are required to 
announce the workshop and call for papers, solicit submissions, conduct 
the reviewing process, and decide upon the final workshop program. At 
least one organizer must be physically present at the workshop.


Workshops proposals are solicited in all areas and topics pertaining to 
research and applications in pervasive computing and communications. 
Workshops addressing new emerging research directions in pervasive 
computing and communication are especially welcome and encouraged.


Workshop papers will be included and indexed in the IEEE digital 
libraries (Xplore). The page limits for accepted regular workshop papers 
are 6 pages, including all figures, tables, and references.



* Proposal Submission Guidelines

Each workshop proposal must include:

1. The workshop title and acronym.
2. The name, address, and a short bio of up to 200 words for each of the 
workshop organizers; workshops may have up to three organizers, and 
should have organizers from at least two different institutions.
3. A brief description (up to 1 page) of the technical issues that the 
workshop will address, and the reasons why the workshop is of interest 
to the PerCom community at this time. Please also include a short 
discussion of related workshops and conferences and outline why the 
proposed workshop is unique.

4. The names of potential program committee members.
5. Description of the communities/groups the workshop aims to attract.
6. The planned format of the workshop, including a strategy to 
facilitate lively and interactive discussions.
7. If applicable, a description of past version(s) of the workshop, 
including: number of submitted and accepted papers and number of 
attendees. Please also clarify the differences between the proposed 
edition of the workshop and previous edition(s).
8. If the workshop does not have any past history, an estimate of the 
expected number of submitted and accepted papers, and of the expected 
number of attendees.

9. A description of the publicity plan.
10. A preliminary call for papers.
11. The workshop website address (preliminary).

Workshop proposals should be submitted (in PDF format) no later than
*** June 1, 2018 *** by e-mail to the PerCom 2019 Workshop Co-chairs:

workshopper...@gmail.com

with "PerCom 2019 Workshop Proposal" in the subject.
Workshops will be held immediately prior to, or immediately after, the
main conference.


* Important Dates

- Workshop proposals: June 1, 2018
- Notification: June 22, 2018

Tentative Schedule for Workshops

- Deadline for Workshop Papers: November 10, 2018
- Notification of Workshop Papers: December 22, 2018


* Workshop Chairs

Takahiro Hara, Osaka University, Japan
Delphine Reinhardt, University of Gottingen, Germany
Nirmalya Roy, University of Maryland Baltimore County, USA


* Additional Information

Web: www.percom.org
Email (TPC Chair): percom2...@gmail.com
Social Media: www.facebook.com/percom
___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] CFP: Ph.D thesis abstracts for IIB 2018 Summer Issue

[Xin Li]

[ Apologies if you got multiple copies of this email. ]



Call for Ph.D. thesis abstracts (defended during the period of August 2017
to July 2018)

Upcoming Issue of the IEEE Intelligent Informatics Bulletin


Important Dates


* Submission Deadline: July 1st, 2018

* Notification: July 10th, 2018



AIMS：

The IEEE Intelligent Informatics Bulletin is the official publication of
the Technical Committee on Intelligent Informatics (TCII) of the IEEE
Computer Society. It aims at promoting the excellent research on the wide
spectrum of intelligent informatics, as well as displaying the news/reports
on TCII related conferences and other activities. The Technical Committee
on Intelligent Informatics (TCII) of the IEEE Computer Society deals with
tools and systems using cognitive and intelligent paradigms such as
knowledge engineering, artificial neural networks, fuzzy logic,
evolutionary computing, and rough sets, with research and applications in
data mining, Web intelligence, brain informatics, intelligent agent
technology, parallel and distributed information processing, and virtual
reality.

Publishing Ph.D. thesis abstracts is a new initiative of the IEEE
Intelligent Informatics Bulletin since 2017. The objective is to provide a
platform allowing young scholars at the beginning of their career to
introduce their high-quality research work under intelligent informatics to
the respective community. Also, it is hoped that the culture of
interaction/cooperation among different subdomains of intelligent
informatics can be further facilitated.


Submission Instructions


Please submit the title and the abstract of your Ph.D. thesis ( with not
more than 500 words ) by the submission deadline. We are targeting theses
defended during the period of August 2017 to July 2018. The submitted
abstracts will be reviewed by the editorial board members of the Bulletin,
and we plan to publish the top 20-30 abstracts.

Submissions should be made through the EasyChair system:
https://easychair.org/
conferences/?conf=iib2018summer

Each submission should be an abstract (written in English) with the problem
being addressed and contributions clearly highlighted. In addition, you are
required to submit a URL linking to the thesis’ soft copy. Please also
refer to the selected Ph.D. thesis abstracts we published last year (
https://www.comp.hkbu.edu.hk/~cib/2017/Aug/abstract/iib_vol
18no1_abstract.pdf).

In case more details are needed, please contact:

xi...@bit.edu.cn

We are looking forward to your submissions!

Xin
-- 
Dr. Xin Li
Associate Professor
School of Computer Science
Beijing Institute of Technology
http://cs.bit.edu.cn/szdw/jsml/fjs/lx/index.htm
___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018): Last Mile

[George Angelos Papadopoulos]

*** LAST MILE ***

24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018)

St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018

http://www.cyprusconferences.org/ismis2018

*** Deadline: 28 May, 2018 (final) ***


WELCOME

ISMIS is an established and prestigious conference for exchanging the latest
research results in building intelligent systems. Held twice every three years,
the conference provides a medium for exchanging scientific research and
technological achievements accomplished by the international community.


SCOPE

The scope of ISMIS is intended to represent a wide range of topics on
applying Artificial Intelligence techniques to areas as diverse as decision
support, automated deduction, reasoning, knowledge based systems,
machine learning, computer vision, robotics, planning, databases,
information retrieval, etc. The focus is on research in intelligent systems.
The conference addresses issues involving solutions to problems that are
complex to be solved through conventional approaches and that require the
simulation of intelligent thought processes, heuristics and applications of
knowledge. The integration of these multiple approaches in solving
complex problems is of particular importance. ISMIS provides a forum and a
means for exchanging information for those interested purely in theory,
those interested primarily in implementation, and those interested in specific
research and industrial applications.


INVITED SPEAKERS

• Michael May - Siemens, Munich, Germany

• Jean-Marc Petit - INSA Lyon and Université de Lyon, France


TOPICS

ISMIS 2018 is intended to attract individuals who are actively engaged both
in theoretical and practical aspects of intelligent systems. The goal is to
provide a platform for a useful exchange between theoreticians and
practitioners, and to foster the cross-fertilization of ideas in the following
areas:

• Active Media Human-Computer Interaction
• Autonomic and Evolutionary Computation
• Digital Libraries
• Health Informatics
• Intelligent Agent Technology
• Intelligent Data Processing and Analytics
• Intelligent Information Retrieval
• Intelligent Information Systems
• Intelligent Language Processing
• Knowledge Integration and Aggregation
• Knowledge Discovery and Data Mining
• Knowledge Visualization
• Logic for Artificial Intelligence
• Multimedia Information Retrieval
• Soft Computing
• Text Mining
• Web Intelligence
• Web Mining

In addition, we solicit papers dealing with Applications of Intelligent Systems
in complex/novel domains, e.g. art, human genome, global change,
manufacturing, social good, etc.


PAPER SUBMISSION

Authors are invited to submit their manuscripts in LNCS/LNAI style
(maximum 10 pages). All paper submissions will be handled electronically.
All submissions will be subject to review by the ISMIS 2018 Program
Committee. Papers should be prepared using the Springer LNCS/LNAI style
(http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines),
maximum 10 pages.

Papers should be submitted in PDF form via ISMIS 2018 Online Submission
System: https://easychair.org/conferences/?conf=ismis2018 .


PUBLICATION AND JOURNAL SPECIAL ISSUES

The ISMIS 2018 proceedings will be published by Springer in LNAI
(Lecture Notes in Artificial Intelligence) and will be available at the
conference.

Authors of best papers will be invited to submit their extended versions to
the Journal of Intelligent Information Systems (JIIS)
(http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844)
published by Springer. Fast Track Processing will be used to have them
reviewed and published.


IMPORTANT DATES

• Paper Submissions due: 28th May 2018 (final)
• Notification of Acceptance/Rejection: 10th July 2018
• Camera-Ready Versions of Accepted Papers: 31st July 2018
• Author Registration: 31st Juy 2018
• Early Non-Author Registration: 10th September 2018
• Late Non-Author Registration: after 10th September 2018


ORGANIZING COMMITTEE

Steering Committee Chair
• Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland)

Symposium Chair
• George Angelos Papadopoulos (University of Cyprus, Cyprus)

Program Committee Co-Chairs
• Michelangelo Ceci (Universita degli Studi di Bari, Italy)
• Nathalie Japkowicz (American University, USA)
• Jiming Liu (Hong Kong Baptist University, Hong Kong)

Special Sessions Chair
• Stefano Ferilli (University of Bari, Italy)

Program Committee
http://cyprusconferences.org/ismis2018/committees/

___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] FInal CFP: StaRAI-18, deadline May 23

[Angelika Kimmig]

New deadline: May 23

-
CALL FOR PAPERS:

Eighth Workshop on Statistical Relational Artificial Intelligence
(StaRAI), July 2018, Stockholm.

Co-located with ICML and IJCAI-ECAI-18

Workshop Webpage: http://www.starai.org/2018

The purpose of the Statistical Relational AI (StarAI) workshop is to bring
together researchers and practitioners from two fields: logical (or
relational) AI and probabilistic (or statistical) AI. These fields 
share many key
features and often solve similar problems and tasks. Until recently,
however, research in them has progressed independently with little or no
interaction. The fields often use different terminology for the same
concepts and, as a result, keeping-up and understanding the results in the
other field is cumbersome, thus slowing down research. Our long term goal
is to change this by achieving a synergy between logical and statistical
AI. As a stepping stone towards realizing this big picture view on AI, we
are organizing the Eighth International Workshop on Statistical Relational
AI at the Federated AI Meeting / IJCAI-ECAI 2018 in Stockholm, July 13-15,
2018.

Key Dates:
* Papers due: May 22, 2018
* Notification:   June 15, 2018
* Camera-ready due:   July 2, 2018
* Day of Workshop:July 14 or 15, 2018 (exact date to be confirmed)

Submission site:
https://easychair.org/conferences/?conf=starai2018

Authors should submit either a full paper reporting on novel technical
contributions or work in progress (AAAI style, up to 7 pages excluding
references), a short position paper (AAAI style, up to 2 pages excluding
references), or an already published work (verbatim, no page limit, citing
original work) in PDF format via EasyChair. All submitted papers will be
carefully peer-reviewed by multiple reviewers and low-quality or off-topic
papers will be rejected. Accepted papers will be presented as a short talk
and poster.

TOPICS:

StarAI is currently provoking a lot of new research and has tremendous
theoretical and practical implications. Theoretically, combining logic and
probability in a unified representation and building general-purpose
reasoning tools for it has been the dream of AI, dating back to the late
1980s. Practically, successful StarAI tools will enable new applications
in several large, complex real-world domains including those involving
big data, social networks, natural language processing, bioinformatics,
the web, robotics and computer vision. Such domains are often
characterized by rich relational structure and large amounts of
uncertainty. Logic helps to effectively handle the former while
probability helps her effectively manage the latter. We seek to invite
researchers in all subfields of AI to attend the workshop and to explore
together how to reach the goals imagined by the early AI pioneers.

The focus of the workshop will be on general-purpose representation,
reasoning and learning tools for StarAI as well as practical applications.
Specifically, the workshop will encourage active participation from
researchers in the following communities: satisfiability (SAT), knowledge
representation (KR), constraint satisfaction and programming (CP),
(inductive) logic programming (LP and ILP), graphical models and
probabilistic reasoning (UAI), statistical learning (NIPS, ICML, and
AISTATS), graph mining (KDD and ECML PKDD) and probabilistic databases
(VLDB and SIGMOD). It will also actively involve researchers from more
applied communities, such as natural language processing (ACL and EMNLP),
information retrieval (SIGIR, WWW and WSDM), vision (CVPR and ICCV),
semantic web (ISWC and ESWC) and robotics (RSS and ICRA).

PRACTICAL:

StarAI will be a one day workshop with short paper presentations, a poster
session, and three invited speakers.


PROGRAM COMMITTEE:

Hendrik Blockeel (KU Leuven)
Jaesik Choi (Ulsan National Institute of Science and Technology)
Fabio Cozman (University of São Paulo)
Jesse Davis (KU Leuven)
Pedro Domingos (University of Washington)
Sebastijan Dumancic (KU Leuven)
Richard Evans (Electronic Arts)
Manfred Jaeger (Aalborg University)
Mehran Kazemi (University of British Columbia)
Kristian Kersting (TU Darmstadt)
Daniel Lowd (University of Oregon)
Pasquale Minervini (University College London)
Sriraam Natarajan (The University of Texas at Dallas)
Aniruddh Nath (Google)
Maximilian Nickel (Facebook AI Research)
Mathias Niepert (NEC Labs Europe)
Scott Sanner (University of Toronto)
Vítor Santos Costa (University of Porto)
Oliver Schulte (Simon Fraser University)
Sameer Singh (University of California, Irvine)
Dhanya Sridhar (University of California Santa Cruz)
Lucas Sterckx (Ghent University)
Guy Van den Broeck (University of California, Los Angeles)
Johannes Welbl (University College London)
Rodrigo de Salvo Braz (SRI International)

ORGANIZING COMMITTEE:

Angelika Kimmig (Cardiff University)
David Poole (UBC)
Jay Pujara (USC)
Parag Singla 

[UAI] Call For Papers: RuleML+RR Doctoral Consortium 2018

[Amal TAWAKULI]

===
Call For Papers: RuleML+RR Doctoral Consortium 2018
===

==Summary==
The RuleML+RR Doctoral Consortium 2018 is an initiative of the RuleML and RR 
communities to attract and promote student research in rules and reasoning. It 
offers students a close contact with leading experts on the field, as well as 
the opportunity to present and discuss their ideas in a dynamic and friendly 
setting.

We invite PhD students at an early or intermediate stage of their PhD studies 
as well as exceptional Master’s students who are interested in pursuing a PhD 
to submit papers describing their research on any of the topics of interest of 
RuleML+RR 2018, available at http://2018.ruleml-rr.org/.


==Instructions==
The submissions should cover the following aspects:

- A clear formulation of the research question and the motivation.

- An identification of the significant problems in the field of research.

- An outline of the current knowledge of the problem domain, as well as the 
state of existing solutions.

- A presentation of any preliminary ideas, the proposed approach and the 
results achieved so far.

- A sketch of the applied research methodology and its positioning in the field.

- A description of the student project’s contribution to the problem solution.

- A discussion of how the suggested solution is different, new, or better as 
compared to existing approaches to the problem.

- A research plan and the potential achievements.

The accepted DC papers will be presented to an interested audience and will be 
discussed with a panel of senior researchers from academia and the industry. 
Students will present their work through brief oral presentations during a 
dedicated session of the RuleML+RR main track, but also in the form of posters.

==Proceedings==
Accepted papers will be published online as part of http://ceur-ws.org 
Proceedings, which are broadly indexed, e.g., by SCOPUS and listed in standard 
bibliographic databases such as DBLP. This year, a selection of the best 
Doctoral Consortium papers will also be included as short papers in the main 
track Springer LNCS proceedings.

==Important Dates==
Paper submission: 1 June 2018
Author notification: 20 June 2018
Camera-ready submission: 10 July 2018

==Submission Guidelines==
DC papers are limited to 8 pages written in English following the LNCS 
http://www.springer.de/comp/lncs/authors.html format and submitted 
electronically in PDF format jointly with a maximum 2 pages CV.

Please submit your paper and CV  to Easychair 
https://easychair.org/conferences/?conf=rulemlrr2018 under the
Doctoral Consortium track.

If you do not have an EasyChair account, please sign up at 
http://www.easychair.org.

==Registration & Student Travel Support==
Registration information will soon become available at the main conference web 
site http://2018.ruleml-rr.org/. Reduced registration fees will be offered to 
all student participants of the conference.

==Program Committee==
Chairs
Kia Teymourian (Boston University)
Paul Fodor (Stony Brook University)

Members
Paul Fodor
Jean-Paul Calbimonte
Alexandru Todor
Kia Teymourian
Eugene Pinsky

==Other Collocated Events==
The event is part of the Luxembourg Logic for AI Summit. Visit 
https://luxlogai.uni.lu/ for information about the summit and all its events.

Students participating in the Doctoral Consortium will also have access to all 
sessions of the main RuleML+RR track as well as its collocated events. More 
information about the conference is available at http://2018.ruleml-rr.org/.

We would also like to invite students to the collocated 14th Reasoning Web 
Summer School (RW 2018), which will take place at the same venue. For more 
information visit http://2018.ruleml-rr.org/rw.html. Students registered for 
the Doctoral Consortium will be offered a discount for RW 2018 registration, 
and vice versa.

=

Schéi Gréiss | Mit Freundlichen Grüßen | Meilleures Salutations | With Kind 
Regards

Amal Tawakuli
Doctoral Candidate
Big Data and Data Science Research Group - ILIAS Lab - CSC Research Unit

UNIVERSITÉ DU LUXEMBOURG

Campus Belval
6, avenue de la Fonte
L-4364 Esch-sur-Alzette/Belval
T +352 46 66 44 9811
amal.tawak...@uni.lu
www.uni.lu

___
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai