MISC'24 Workshop

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Machine Learning, Information Theory, Signal Processing and Communications Workshop (MISC'24)


We are pleased to announce MISC'24, the Spanish Workshop on Machine Learning, Information Theory, Signal Processing, and Communications. In Madrid on July 2, 2024, MISC'24 expands upon the Signal Processing, Information Theory, and Communications (SIC) Workshop to include the Machine learning field.

The technical program features speakers of renowned international prestige in these fields. Remarkably, the event will host a
distinguished lecturer from the Information Theory Society. In the afternoon, we will have a poster session for Ph.D. students, postdocs, and researchers in the fields above to foster interaction and potential new collaborations. We encourage all participants to
contribute.

Registration will be open until June 21, 2024. Please fill out the form:

https://forms.office.com/e/4YpXNajrQy

Moreover, we will hold a welcome and networking dinner on July 1st to promote social interaction among participants. Each participant would cover the costs, with an estimated cost between 40 and 50 EUR. Please, let us know your interest in attending the dinner by
answering the corresponding question within the registration form.

Visit our website for more details:

https://sites.google.com/view/misc24workshop/home

Feel free to share the event details with potential interested participants.

We look forward to your participation in this event.

Kind regards,

Grace Villacrés (URJC), Alejando Lancho (UC3M), Mihaela I. Chidean (URJC)
MISC'24 Co-Chairs

Date and Time

  • Date: 02 Jul 2024
  • Time: 09:30 AM to 06:00 PM
  • All times are (UTC+02:00) Madrid
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Location

  • Calle Quintana 21
  • Madrid, Madrid
  • Spain 28008
  • Building: Universidad Rey Juan Carlos
  • Room Number: 501
  • Click here for Map

Hosts


Speakers

Anand D. Sarwate of Rutgers University

 

Topic:

Learning with Structured Tensor Decompositions

Tobias Koch of Universidad Carlos III de Madrid

 

Topic:

The Divergence Test for Universal Hypothesis Testing: Beating the Generalized Likelihood Ratio Test

Daniel Hernández-Lobato of Universidad Autónoma de Madrid

 

Topic:

Parallel predictive entropy search for multi-objective Bayesian optimization with constraints

Antonio G. Marqués of Universidad Rey Juan Carlos

 

Topic:

Tensor-low rank models for reinforcement learning



Agenda

https://sites.google.com/view/misc24workshop/program