The 27th International Conference on Algorithmic Learning Theory (ALT 2016) 
will be held in Bari, Italy, on October 19-21, 2016. The conference is 
dedicated to the theoretical foundations of machine learning. The conference 
will be co-located with the 19th International Conference on Discovery Science 
(DS 2016).

http://www.comp.nus.edu.sg/~fstephan/alt/alt2016/index.html 
<http://www.comp.nus.edu.sg/~fstephan/alt/alt2016/index.html>

ALT will host the following invited speakers:
Avrim Blum
Gabor Lugosi (tutorial speaker)
John Shawe-Taylor
(plus two further speakers invited by DS)

*Topics of Interest* 

We invite submissions with theoretical and algorithmic contributions to new or 
already existing learning problems including but not limited to:

- Comparison of the strength of learning models and the design and evaluation 
of novel algorithms for learning problems in established learning-theoretic 
settings such as
        -Statistical learning theory
        -On-line learning
        -Inductive inference
        -Query models
        -Unsupervised learning
        -Clustering
        -Semi-supervised and active learning
        -Stochastic optimization
        -High dimensional and non-parametric inference
        -Exploration-exploitation tradeoff, bandit theory
        -Reinforcement learning, planning, control
        -Learning with additional constraints, e.g., communication, time or 
memory budget, or privacy 
- Analysis of the theoretical properties of existing algorithms such as
        -Boosting
        -Kernel-based methods, SVM
        -Bayesian methods
        -Graph- and/or manifold-based methods
        -Methods for latent-variable estimation and/or clustering
        -Decision tree methods
        -Information-based methods, MDL 
   Analyses could include generalization, speed of convergence, computational 
complexity, or sample complexity.
    
- Definition and analysis of new learning models. Models might identify and 
formalize classes of learning problems inadequately addressed by existing 
theory or capture salient properties of important concrete applications. 

We are also interested in papers that include viewpoints that are new to the 
ALT community. We welcome experimental and algorithmic papers provided they are 
relevant to the focus of the conference by elucidating theoretical results, or 
by pointing out interesting and not well understood behavior that could 
stimulate theoretical analysis.


*Submissions*

-Format:
The submitted paper should be no longer than 15 pages in the standard format 
for Springer-Verlag's Lecture Notes in Artificial Intelligence series:
http://www.springer.de/comp/lncs/authors.html 
<http://www.springer.de/comp/lncs/authors.html>
The 15 page limit includes title, abstract, acknowledgements, references, 
illustrations and any other parts of the paper; appendixes bypassing the page 
limit are not allowed.

-Submission Mode: 
The ALT reviewing process is not double-blind, as program committee members 
will have access to author identities. Still, in order to decrease bias based 
on the knowledge of the authors and in order to allow double-blind 
subreviewing, submissions shall not include author names nor affiliations. 
Accordingly, acknowledgements should not be included in the submitted version 
of the paper, and prior work by the authors should be referred to in the third 
person. Papers that do not satisfy these guidelines will not be reviewed.

-Policy: 
Each submitted paper will be reviewed by the members of the programme committee 
and be judged on clarity, significance and originality. Joint submissions to 
other conferences with published proceedings are not allowed. Papers that have 
appeared in or are under review for journals or other conferences are not 
appropriate for ALT 2016. However, it is acceptable to submit to ALT work that 
has been made available as a technical report (or similar, e.g. on 
http://www.arxiv.org <http://www.arxiv.org/>) without citing it.

-Proceedings:
All accepted papers will be published as a volume in the Lecture Notes in 
Artificial Intelligence, Springer-Verlag, and will be available at the 
conference. Full versions of selected papers of ALT 2016 will be invited to a 
special issue of the journal Theoretical Computer Science (Elsevier).

-E.M. Gold Award: 
One scholarship of EUR 555 will be awarded to a student author of an excellent 
paper. Please mark student submissions on the title page. Note that this paper 
can be co-authored by other researchers.

-Important Dates.
Full paper submission:  13 May 2016
Author notification:    30 June 2016
Camera-ready papers due:  22 July 2016
Conference:     19-21 October 2016

-Submission: 
Authors can submit their papers electronically via our submission page 
        https://www.easychair.org/conferences/?conf=alt2016 
<https://www.easychair.org/conferences/?conf=alt2016>
which will be opened for submissions in April 2016.

For queries please contact the PC co-chairs via the email [email protected] 
<mailto:[email protected]>

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