ML 2018 - MACHINE LEARNING SUMMER SCHOOL
Topics/Call fo Papers
MACHINE LEARNING SUMMER SCHOOL
at Universidad Autónoma de Madrid, Spain
27 August to 7 September, 2018
http://mlss.ii.uam.es/mlss2018/
---
will begin on 7 March 2018 and will be closed on 7 April 2018.
Reference letters will be accepted till 12 April 2018.
Overview
---
The machine learning summer school provides graduate students and industry
professionals with an intense learning experience on the theory and
applications of modern machine learning. Over the course of two weeks,
a panel of internationally renowned experts of the field will offer
lectures and tutorials covering basic as well as advanced topics.
Confirmed Speakers
---
Francis Bach (INRIA) - Optimization
Kyunghyun Cho (NYU) - Neural Language Models
Rob Fergus (NYU) - Deep Learning
Arthur Gretton (UCL) - Kernel Methods
José Miguel Hernández-Lobato (Cambridge University) - ML on molecules
Shakir Mohamed (DeepMind) - Bayesian Deep Learning
Joris Mooij (University of Amsterdam) - Causal Inference
Sebastian Nowozin (Microsoft Research) - GANs
Michael Osborne (Oxford University) - Bayesian Optimization and Prob.
Numerics
Jan Peters (TU Darmstadt and MPI for IS) - Reinforcement Learning
Suchi Saria (Johns Hopkins University) - Machine learning and causal
inference for personalized decision making
Oliver Stegle (EMBL-EBI) - ML for Statistical Genomics and Systems
Genetics
Richard Turner (Cambridge University) - Gaussian Processes
Oriol Vinyals (DeepMind) - Deep Learning
Sinead Williamson (University of Texas at Austin) - Bayesian
Non-parametrics.
Application process
---
Applications are invited from graduate students, postdoctoral researchers
and industry professionals looking to use, or already using machine
learning methods in their work. This includes researchers in applied
fields as well as students of machine learning itself. Prior experience
is not strictly required, but helpful. A small number of travel stipends
and free registration fees will be available.
Applicants will be asked to submit a CV, a cover letter of up to 200
words, and a short letter of recommendation from one referee of their
choice. We are also seeking to give participants a chance to discuss their
own work with their peers and the speakers. Each applicant is thus invited
to provide the title and abstract of a poster they would like to present
at the summer school.
For more information visit
http://mlss.ii.uam.es/mlss2018/
Important Dates
---
* 7 March 2018 - application system opens
* 7 April 2018 - DEADLINE FOR APPLICATIONS
* 12 April 2018 - deadline for reference letters
* 22 May 2018 - notification of acceptance
* 1 May 2018 - payments due
The summer school will take place from
Mon, 27 August to Fri, 7 September 2018
Venue
---
Madrid is the capital and the largest municipality of Spain. It lies on
the River Manzanares, in the centre of the country. Madrid has a modern
infrastructure, but has preserved the look and feel of its historic
neighbourhoods. Its landmarks include the Royal Palace; the Opera House;
the Buen Retiro Park; the National Library; and the Golden Triangle of
Art, comprising three art museums: Prado Museum, the Reina Sofía Museum
(a museum of modern art), and the Thyssen-Bornemisza Museum.
Organizers
---
Daniel Hernández-Lobato and José Miguel Hernández-Lobato
inquiries should be directed to daniel.hernandez-AT-uam.es
at Universidad Autónoma de Madrid, Spain
27 August to 7 September, 2018
http://mlss.ii.uam.es/mlss2018/
---
will begin on 7 March 2018 and will be closed on 7 April 2018.
Reference letters will be accepted till 12 April 2018.
Overview
---
The machine learning summer school provides graduate students and industry
professionals with an intense learning experience on the theory and
applications of modern machine learning. Over the course of two weeks,
a panel of internationally renowned experts of the field will offer
lectures and tutorials covering basic as well as advanced topics.
Confirmed Speakers
---
Francis Bach (INRIA) - Optimization
Kyunghyun Cho (NYU) - Neural Language Models
Rob Fergus (NYU) - Deep Learning
Arthur Gretton (UCL) - Kernel Methods
José Miguel Hernández-Lobato (Cambridge University) - ML on molecules
Shakir Mohamed (DeepMind) - Bayesian Deep Learning
Joris Mooij (University of Amsterdam) - Causal Inference
Sebastian Nowozin (Microsoft Research) - GANs
Michael Osborne (Oxford University) - Bayesian Optimization and Prob.
Numerics
Jan Peters (TU Darmstadt and MPI for IS) - Reinforcement Learning
Suchi Saria (Johns Hopkins University) - Machine learning and causal
inference for personalized decision making
Oliver Stegle (EMBL-EBI) - ML for Statistical Genomics and Systems
Genetics
Richard Turner (Cambridge University) - Gaussian Processes
Oriol Vinyals (DeepMind) - Deep Learning
Sinead Williamson (University of Texas at Austin) - Bayesian
Non-parametrics.
Application process
---
Applications are invited from graduate students, postdoctoral researchers
and industry professionals looking to use, or already using machine
learning methods in their work. This includes researchers in applied
fields as well as students of machine learning itself. Prior experience
is not strictly required, but helpful. A small number of travel stipends
and free registration fees will be available.
Applicants will be asked to submit a CV, a cover letter of up to 200
words, and a short letter of recommendation from one referee of their
choice. We are also seeking to give participants a chance to discuss their
own work with their peers and the speakers. Each applicant is thus invited
to provide the title and abstract of a poster they would like to present
at the summer school.
For more information visit
http://mlss.ii.uam.es/mlss2018/
Important Dates
---
* 7 March 2018 - application system opens
* 7 April 2018 - DEADLINE FOR APPLICATIONS
* 12 April 2018 - deadline for reference letters
* 22 May 2018 - notification of acceptance
* 1 May 2018 - payments due
The summer school will take place from
Mon, 27 August to Fri, 7 September 2018
Venue
---
Madrid is the capital and the largest municipality of Spain. It lies on
the River Manzanares, in the centre of the country. Madrid has a modern
infrastructure, but has preserved the look and feel of its historic
neighbourhoods. Its landmarks include the Royal Palace; the Opera House;
the Buen Retiro Park; the National Library; and the Golden Triangle of
Art, comprising three art museums: Prado Museum, the Reina Sofía Museum
(a museum of modern art), and the Thyssen-Bornemisza Museum.
Organizers
---
Daniel Hernández-Lobato and José Miguel Hernández-Lobato
inquiries should be directed to daniel.hernandez-AT-uam.es
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Last modified: 2018-03-08 21:22:39