*Call For Participation*

We invite participation in the Workshop on *"Advances in Active Learning -
Bridging Theory and Practice
<https://sites.google.com/site/icmlalworkshop/>"*, to be held as a part of
the ICML 2015 <http://icml.cc/2015/> conference in Lille, France (July
6-11, 2015).
*Confirmed Speakers*

Andreas Krause <http://las.ethz.ch/krausea.html> (ETH, Zurich)

John Langford <http://hunch.net/~jl/> (MSR, New York)

Steve Hanneke <http://www.stevehanneke.com/> (independent scientist)

Maja Temerinac-Ott
<http://www.frias.uni-freiburg.de/de/personen/wissenschaftliche-mitarbeiter-a-z/wiss-mitarbeiter/temerinac-ott>
(Univ.
of Freiburg)

Adam Kalai <http://research.microsoft.com/en-us/um/people/adum/> (MSR, New
England)

Jeff Schneider <http://www.cs.cmu.edu/~schneide/> (Carnegie Mellon
University)


*Important Dates*

Deadline for submissions : *May 1, 2015 *(via email, details below)
Notification of acceptance : *May 10, 2015*
Workshop date : *July 10, 2015* (Friday, first day of workshops)
Website: *https://sites.google.com/site/icmlalworkshop/
<https://sites.google.com/site/icmlalworkshop/>*

*Organizing Committee*

Aaditya Ramdas <http://www.cs.cmu.edu/~aramdas/> (Carnegie Mellon
University)
Akshay Krishnamurthy <http://www.cs.cmu.edu/~akshaykr> (Carnegie Mellon
University)
Nina Balcan <http://www.cs.cmu.edu/~ninamf/> (Carnegie Mellon University)
Aarti Singh <http://www.cs.cmu.edu/~aarti> (Carnegie Mellon University)

*Overview*

Active learning has been a topic of significant research over the past
several decades with much attention devoted to both theoretical and
practical considerations. A variety of algorithms and sampling paradigms
have been proposed and studied, but roughly speaking, this line of research
focuses on how to make feedback driven decisions about data collection, and
how to leverage this power for efficient learning. Research in this area
stems from a range of communities including signal processing,
machine learning, statistics, and information theory, including both
theoreticians and practitioners. One aim of this workshop is to bring this
diverse collection of researchers together.

Despite attention from both theoreticians and practitioners, there remains
a glaring disconnect between the two lines of research, and the other aim
of this workshop is to find concrete directions toward bridging this
divide. Many of the algorithms with strong statistical guarantees either
make strong modeling assumptions or suffer from computational
inefficiencies while many algorithms achieving empirical successes are less
amenable to theoretical analysis. By bringing both theoreticians and
practitioners together, we hope to identify future research directions that
address this disconnect.

We are looking for *contributed talks/posters* on interactive learning
defined broadly, including but not limited to:

1. Robust interactive learning procedures.

2. Computationally efficient interactive learning algorithms.

3. Empirical success stories of interactive learning algorithms.

4. New interactive models (for eg: crowdsourcing).

5. Connections between active, online, reinforcement and other sequential
learning models.

We hope to make concrete progress toward bridging the gap between theory
and practice in active learning.


*Dual Submission Policy*: Our workshop will *not* have published
proceedings and workshop papers are intended for discussion rather than
formal peer-review. Hence, we invite short versions of papers published at
(or submitted to) other recent conferences. However, we must be informed
about all such dual submissions.


*Submission Instructions*


   - Email as attachment to [email protected], with subject as
   "ICML-ALW" followed by the title of your paper (to update the paper, reply
   to the same email with the updated attachment)
   - The final date for submissions is May 1, 2015 (11:59pm UTC).
   - Page limit: 4 pages (without references)
   - Please use the ICML 2015 submission format
   <http://icml.cc/2015/?page_id=151>
   - The submission need not be anonymized


-- 
Aaditya, Akshay, Aarti, Nina
[email protected]
https://sites.google.com/site/icmlalworkshop/
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