posted by organizer: sandrazilles || 1717 views || tracked by 11 users: [display]

ALT 2016 : International Conference on Algorithmic Learning Theory


Conference Series : Algorithmic Learning Theory
When Oct 19, 2016 - Oct 21, 2016
Where Bari, Italy
Submission Deadline May 13, 2016
Notification Due Jun 30, 2016
Final Version Due Jul 22, 2016

Call For Papers

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).

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
-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
-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.


The submitted paper should be no longer than 15 pages in the standard format for Springer-Verlag's Lecture Notes in Artificial Intelligence series:
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.

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 without citing it.

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

Authors can submit their papers electronically via our submission page
which will be opened for submissions in April 2016.

For queries please contact the PC co-chairs via the email

Related Resources

ETHE Blearning 2017   Blended learning in higher education: research findings
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
IPTA 2017   International Conference on Image Processing Theory, Tools and Applications
ICONIP 2017   International Conference on Neural Information Processing
ACML 2017   The 9th Asian Conference on Machine Learning
ICMLA 2017   16th IEEE International Conference On Machine Learning And Applications
DMBD 2017   DMBD'2017:Call for Papers (Jan. 30, 2017)
IEEE SSCI 2017   2017 IEEE Symposium Series on Computational Intelligence
MIWAI 2017   The 11th Multi-disciplinary International Workshop on Artificial Intelligence