CFP: ACML'2013 workshop on Theory and Practice in Machine Learning

Posted by Rebecca Martin on Wed, 28/08/2013 - 10:13

Second Call For Papers for the ACML'2013 workshop on Theory and Practice in
Machine Learning

Several different forms of theoretical foundations for machine
learning have been developed over the years for different settings.
Examples include PAC and PAC-Bayesian learning, online learning,
statistical learning theory, Bayesian learning theory, model selection
using MML/MDL and Algorithmic Information Theory. These frameworks
provide performance guarantees for certain categories of algorithms
when applied to classes of problems. Although strong theoretical

CFP: NIPS 2013 Workshop on Machine Learning for Sustainability

Posted by Rebecca Martin on Wed, 28/08/2013 - 10:13

Call for Papers

MLSUST 2013: NIPS 2013 Workshop on Machine Learning for Sustainability Lake Tahoe, Nevada, United States

https://sites.google.com/site/mlsustws/

Important dates:

Submission deadline: October 9th, 2013
Author notification: October 23rd, 2013
Workshop date: December 9th or 10th, 2013

Description
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Fully funded PhD studentship in Statistical Science at University College London, UK

Posted by Rebecca Martin on Wed, 28/08/2013 - 09:27

Duration of studentships: 3 years
Stipend: £15,590 per annum
Closing date: Applications will be considered on a rolling basis until the studentships are filled or until final deadline of 30 Sep 2013 is reached

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Applications are invited for a fully funded PhD studentship in "Inhomogenous multiresolution random fields" at UCL.

Workshop on Bayesian Spatio-Temporal Modelling, Edinburgh 8-9/10/13

Posted by Rebecca Martin on Wed, 21/08/2013 - 09:55

This series of research talks and discussion forum is in honour of the contribution of Rev Thomas Bayes. Bayes was a student of the University of Edinburgh from 1719 to c. 1722. This yearly workshop follows in footsteps of the Bayes 250 workshop organised in 2011 to mark the 250th anniversary of Rev Bayes's death and Bayes Lectures organized in 2012. This year's meeting is particularly focused on the contributions of Bayes's ideas towards the development and application of statistical methods to spatial and spatio-temporal problems.

Postdoctoral Researcher position at Aalto University

Posted by Rebecca Martin on Wed, 21/08/2013 - 09:54

The Department of Information and Computer Science at the Aalto University School of Science (http://ics.aalto.fi/en/) is presently looking for a

Postdoctoral Researcher

http://www.aalto.fi/en/current/jobs/teaching_and_research/midas_postdoc/

NIPS 2013 workshop on causality

Posted by Rebecca Martin on Mon, 19/08/2013 - 11:18

NIPS 2013 Workshop on Causality
Large-scale Experiment Design and Inference of Causal Mechanisms
December 9 or 10, 2013
Lake Tahoe, Nevada, USA
http://clopinet.com/isabelle/Projects/NIPS2013/

Call for papers: Workshop on Large Scale Visual Commerce

Posted by Rebecca Martin on Mon, 12/08/2013 - 08:53

Call for papers: 1st IEEE Workshop on Large Scale Visual Commerce on December 7th, held in conjunction with ICCV 2013 at Sydney.

Job opening: Manager of Machine Learning Group @ Xerox

Posted by Rebecca Martin on Mon, 12/08/2013 - 08:00

Great opportunity for the right person in managing a strong research group in an industrial research centre (located in the heart of the French alps!).

Details at: http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Manager-Machin...
(other machine learning positions are also available)

2 RA positions in Bristol

Posted by Rebecca Martin on Mon, 29/07/2013 - 14:27

Research Assistant in Machine Learning
2 Posts
University of Bristol -Department of Computer Science
Closing date: 05/09/2013
Salary: £30424 - £34223
Language: English (UK)
Job number: ACAD100440
Contract Type: Fixed-term contract staff
Work Hours: 35.0 Hours per Week
Job Type: Research and Teaching
Division / School: Merchant Venturers' School of Engineering
http://www.jobs.ac.uk/job/AGZ323/research-assistant-in-machine-learning/

CFP: ACML'2013 workshop on Theory and Practice in Machine Learning

Posted by Rebecca Martin on Mon, 29/07/2013 - 14:04

First Call For Papers for the ACML'2013 workshop on Theory and Practice in
Machine Learning

Several different forms of theoretical foundations for machine
learning have been developed over the years for different settings.
Examples include PAC and PAC-Bayesian learning, online learning,
statistical learning theory, Bayesian learning theory, model selection
using MML/MDL and Algorithmic Information Theory. These frameworks
provide performance guarantees for certain categories of algorithms
when applied to classes of problems. Although strong theoretical

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