ALT 2020 Call for Papers
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Gergely Neu
Jun 11, 2019, 12:35:43 PM6/11/19
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THE CONFERENCE
The 31st International Conference on Algorithmic Learning Theory (ALT
2020) will take place in San Diego, CA, USA between February 9-11,
2020, collocated with the 2020 edition of the Information Theory and
Applications (ITA 2020) workshop. The two events will overlap on
February 8 for a day-long symposium on Information Theory Applied to
Learning Theory (ITALT), featuring invited talks by distinguished
speakers and a poster session, giving authors of ALT papers the
opportunity to present their research to an extended audience.
CALL FOR PAPERS
The ALT 2020 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.
- Connections of learning with other mathematical fields.
- Artificial neural networks, including deep learning.
- High-dimensional and non-parametric statistics.
- Learning with algebraic or combinatorial structure.
- Bayesian methods in learning.
- Learning with system constraints: e.g. privacy, memory or
communication budget.
- Learning from complex data: e.g., networks, time series.
- Interactions with statistical physics.
- Learning in other settings: e.g. social, economic, and game-theoretic.
We are also interested in papers that present 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 an interesting and
not well-understood behavior that could stimulate theoretical
analysis.
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 and optionally also as a poster.
POSTER SESSION
This year, the conference will feature a poster session set to take
place on the overlap day with ITA, February 8. The poster session will
be open to attendees of both events, enabling authors to present their
work to a broader audience. All authors of accepted papers at ALT will
be invited to present a poster, and rejected papers will also be
considered. Additionally, we will invite abstracts for a non-archival
poster track at ALT, where we also will welcome submissions under
review at other venues and recently published papers.
AWARDS
ALT 2020 will have both a best student paper award (E.M. Gold Award)
and a best paper award. Authors must indicate at submission time if
they wish their paper to be eligible for a student award. This does
not preclude the paper to be eligible for the best paper award. The
paper can be co-authored by other researchers.
VENUE
The conference will be held at the Catamaran Resort Hotel and Spa in
San Diego, CA, USA between February 9-11, 2020.
SUBMISSION GUIDELINES
* DUAL SUBMISSION POLICY
Joint submissions to other conferences with published proceedings are
not allowed. Papers that have appeared in or are under review for
other conferences are not appropriate for ALT 2020. The same policy
applies to journals, unless the submission is a shorter version of a
paper submitted to a journal and has not yet been published. It is,
however, acceptable to submit to ALT work that has been made available
as a technical report or similar, for example on https://arxiv.org/.
* FORMATTING
There is no page limit for submissions, and submissions should include
all proofs and technical details necessary to understand the results.
However, referees are not required to read beyond the first 12 pages
when reviewing submissions. Therefore, it is recommended that the
first 12 pages contain a clear presentation of the papers main
contributions and at least sketches of the main arguments.
* REVIEW
Each submitted paper will be reviewed by the members of the program
committee and be judged on clarity, significance and originality.
There will be no author rebuttal phase. The reviewing process is not
double-blind: authors should list their names and affiliations in
their submissions.
IMPORTANT DATES
- Paper submission deadline: September 20, 2019, 4:59PM EST.
- Author notification: November 24, 2019
CONTACT
All questions about submissions should be emailed to the PC chairs at
alt202...@gmail.com.
CONFERENCE WEBSITE
http://alt2020.algorithmiclearningtheory.org/
Best regards,
Aryeh Kontorovich and Gergely Neu
Program co-chairs, ALT 2020
The 31st International Conference on Algorithmic Learning Theory (ALT
2020) will take place in San Diego, CA, USA between February 9-11,
2020, collocated with the 2020 edition of the Information Theory and
Applications (ITA 2020) workshop. The two events will overlap on
February 8 for a day-long symposium on Information Theory Applied to
Learning Theory (ITALT), featuring invited talks by distinguished
speakers and a poster session, giving authors of ALT papers the
opportunity to present their research to an extended audience.
CALL FOR PAPERS
The ALT 2020 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.
- Connections of learning with other mathematical fields.
- Artificial neural networks, including deep learning.
- High-dimensional and non-parametric statistics.
- Learning with algebraic or combinatorial structure.
- Bayesian methods in learning.
- Learning with system constraints: e.g. privacy, memory or
communication budget.
- Learning from complex data: e.g., networks, time series.
- Interactions with statistical physics.
- Learning in other settings: e.g. social, economic, and game-theoretic.
We are also interested in papers that present 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 an interesting and
not well-understood behavior that could stimulate theoretical
analysis.
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 and optionally also as a poster.
POSTER SESSION
This year, the conference will feature a poster session set to take
place on the overlap day with ITA, February 8. The poster session will
be open to attendees of both events, enabling authors to present their
work to a broader audience. All authors of accepted papers at ALT will
be invited to present a poster, and rejected papers will also be
considered. Additionally, we will invite abstracts for a non-archival
poster track at ALT, where we also will welcome submissions under
review at other venues and recently published papers.
AWARDS
ALT 2020 will have both a best student paper award (E.M. Gold Award)
and a best paper award. Authors must indicate at submission time if
they wish their paper to be eligible for a student award. This does
not preclude the paper to be eligible for the best paper award. The
paper can be co-authored by other researchers.
VENUE
The conference will be held at the Catamaran Resort Hotel and Spa in
San Diego, CA, USA between February 9-11, 2020.
SUBMISSION GUIDELINES
* DUAL SUBMISSION POLICY
Joint submissions to other conferences with published proceedings are
not allowed. Papers that have appeared in or are under review for
other conferences are not appropriate for ALT 2020. The same policy
applies to journals, unless the submission is a shorter version of a
paper submitted to a journal and has not yet been published. It is,
however, acceptable to submit to ALT work that has been made available
as a technical report or similar, for example on https://arxiv.org/.
* FORMATTING
There is no page limit for submissions, and submissions should include
all proofs and technical details necessary to understand the results.
However, referees are not required to read beyond the first 12 pages
when reviewing submissions. Therefore, it is recommended that the
first 12 pages contain a clear presentation of the papers main
contributions and at least sketches of the main arguments.
* REVIEW
Each submitted paper will be reviewed by the members of the program
committee and be judged on clarity, significance and originality.
There will be no author rebuttal phase. The reviewing process is not
double-blind: authors should list their names and affiliations in
their submissions.
IMPORTANT DATES
- Paper submission deadline: September 20, 2019, 4:59PM EST.
- Author notification: November 24, 2019
CONTACT
All questions about submissions should be emailed to the PC chairs at
alt202...@gmail.com.
CONFERENCE WEBSITE
http://alt2020.algorithmiclearningtheory.org/
Best regards,
Aryeh Kontorovich and Gergely Neu
Program co-chairs, ALT 2020
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