International Gambling Conference 2019

admin  4/6/2022

The NAGS Annual Conference is an excellent medium for knowledge sharing, networking with colleagues and exploring opportunities for discussion and collaboration with all other stakeholders in the gambling domain. The conferences attract national and international speakers from many different areas in the gambling field including, policy-makers. In order to mitigate the challenges faced by African gaming regulators, GRAF has already formed sub-committees that handle issues of Education and Training and Technology and Illegal Gambling. Activities of this Forum are guided by a strategic plan which is endorsed by all member states and implemented through the sub committees.

ICLR @ New Orleans ·The Seventh International Conference on Learning Representations
Mon May 6th through Thu the 9th Tourism in New Orleans »

Schedule

Invited Talks »Orals »Accepted Papers »Workshops »Best Paper Awards »Plenary Live Streaming »Workshops Live Streaming »

Videos

We have posted videos for many of the talks that were lived streamed. These videos are linked into the schedule (see the Schedule section above). They are also collected here.

Affinity Group Activities

Please visit the Diversity & Inclusion link for scheduled program and activities.

Registration

General Chair

  • Tara Sainath, Google

Senior Program Chair

  • Alexander Rush, Harvard University

Program Chairs

  • Sergey Levine, UC Berkeley
  • Karen Livescu, TTI-Chicago
  • Shakir Mohamed, Google DeepMind

Workshop Chairs

Schedule
  • Been Kim, Google Brain
  • Graham Taylor, University of Guelph / Vector Institute

Diversity+Inclusion Chairs

  • Alice Oh, KAIST
  • Richard Zemel, University of Toronto / Vector Institute

Contact

The organizers can be contacted here.

Sponsors

Become a 2021 Sponsor »(closed)

Sponsors

The ICLR 2020 Sponsor Portal will open on December 23, 2020. The Sponsor Portal can be accessed through the ICLR Sponsor Information page found here:ICLR Sponsor Information

International Gambling Conference 2019 Predictions

New sponsors to ICLR, please email us at 2020 ICLR Sponsor Prospectus Request, provide your contact information and you will receive the ICLR 2020 Sponsor Prospectus.

Important Dates

International Gambling Conference 2019 Schedule
Conference SessionsMon May 6th through Thu the 9th
Early pricing before this date. Mar 19 04:59 PM PDT *
Last chance for a refund on registration fees Apr 18 04:59 PM PDT *
All dates »* Dates above are in pacific time

About Us

The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

Participants at ICLR span a wide range of backgrounds, fromacademic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

International Gambling Conference 2019 Conference

A non-exhaustive list of relevant topics explored at the conference include:

  • unsupervised, semi-supervised, and supervised representation learning
  • representation learning for planning and reinforcement learning
  • representation learning for computer vision and natural language processing
  • metric learning and kernel learning
  • sparse coding and dimensionality expansion
  • hierarchical models
  • optimization for representation learning
  • learning representations of outputs or states
  • implementation issues, parallelization, software platforms, hardware
  • applications in audio, speech, robotics, neuroscience, computational biology, or any other field
  • societal considerations of representation learning including fairness, safety, privacy