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ALT 2021 : Algorithmic Learning Theory

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Conference Series : Algorithmic Learning Theory
 
Link: http://algorithmiclearningtheory.org/alt2021/
 
When Mar 16, 2021 - Mar 19, 2021
Where Paris, France
Submission Deadline Sep 30, 2020
Notification Due Nov 18, 2020
Final Version Due Dec 21, 2020
 

Call For Papers

The next iteration of the revamped and greatly improved ALT conference will
be held on March 16–19, 2021. Hopefully, with an in-person meeting in
Paris, France but in any case virtual participation will be possible.
Please see the CFP below as the format of the submission and review process
was changed this year.
Additional details about the PC and invited speakers can be found at
http://algorithmiclearningtheory.org/alt2021/
(http://algorithmiclearningtheory.org/alt2021/organization/)

-Vitaly Feldman and Katrina Ligett, ALT 2021 Program Chairs

===========================================================================
The conference is dedicated to all theoretical and algorithmic aspects of
machine learning. We invite submissions with contributions to new or
existing learning problems including, but not limited to:

- Design and analysis of learning algorithms.
- Statistical and computational learning theory.
- Online learning algorithms and theory.
- Optimization methods for learning.
- Unsupervised, semi-supervised and active learning.
- Interactive learning, planning and control, and reinforcement learning.
- Privacy-preserving data analysis.
- Learning with additional societal considerations: e.g., fairness,
economics.
- Robustness of learning algorithms to adversarial agents.
- Artificial neural networks, including deep learning.
- High-dimensional and non-parametric statistics.
- Adaptive data analysis and selective inference.
- Learning with algebraic or combinatorial structure.
- Bayesian methods in learning.
- Learning in distributed and streaming settings.
- Game theory and learning.
- Learning from complex data: e.g., networks, time series.
- Theoretical analysis of probabilistic graphical models.

While the primary focus of the conference is theoretical, authors are
welcome to support their analysis by including relevant experimental
results.

Accepted papers will be published electronically in the Proceedings of
Machine Learning Research (PMLR), and will be presented at the conference
as a full-length talk. Authors of accepted papers will have the option of
opting out of the proceedings in favor of a 1-page extended abstract, which
will point to an open access archival version of the full paper reviewed
for ALT. At least one author of each accepted paper should be present at
the conference to present the work.
IMPORTANT DATES


*Paper submission deadline:September 30, 2020, 5:00PM EST*


*Author feedback:November 18-23, 2020*


*Author notification:December 21, 2020*
*DUAL SUBMISSION POLICY*

Conferences: In general, submissions that are substantially similar to
papers that have been previously published, accepted for publication, or
submitted in parallel to other peer-reviewed conferences with proceedings
may not be submitted to ALT.

Journals: submissions that are substantially similar to papers that are
already published in a journal at the time of submission may not be
submitted to ALT.
*REBUTTAL PHASE*

This year there will be a rebuttal phase during the review process. Initial
reviews will be sent to authors before final decisions have been made.
Authors will have an opportunity to provide a short response to the initial
reviews.
AWARDS

ALT will award both best paper and best student paper (E.M. Gold) awards.
To be eligible for the best student paper award, the primary contributor(s)
must be full-time students at the time of submission. The paper can be
co-authored by other researchers. For eligible papers, authors must
indicate at submission time if they wish their paper to be considered for a
student paper award. The program committee may decline to make these
awards, or may split them among several papers.
CONTACT
All questions about submissions should be emailed to the PC chairs at
*alt2021chairs@​gmail.com* (alt2021chairs@gmail.com).

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