Dear all.

The second submission deadline for the NIPS Workshop on Transactional Machine Learning and E-Commerce is Mon 20th Oct. Please see below for details.

Amos Storkey

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ANNOUNCEMENT AND CALL FOR CONTRIBUTIONS

NIPS Workshop on Transactional Machine Learning and E-Commerce

December 2014, Montreal, Canada

http://nips.cc/Conferences/2014/Program/event.php?ID=4298
http://workshops.inf.ed.ac.uk/ml/nipstransactional/

Second Submission Deadline : Monday, 20 October 2014. We accept novel or recently published work for presentation.
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Background

In the context of building a machine learning framework that scales, the current modus operandi is a monolithic, centralised model building approach. These large scale models have different components, which have to be designed and specified in order to fit in with the model as a whole. The result is a machine learning process that needs a grand designer. It is analogous to a planned economy.

There is an alternative. Instead of a centralised planner being in charge of each and every component in the model, we can design incentive mechanisms for independent component designers to build components that contribute to the overall model design. Once those incentive mechanisms are in place, the planner need no longer have control over each individual component. This is analogous to a market economy.

The result is a transactional machine learning. The problem is transformed to one of setting up good incentive mechanisms that enable the large scale machine learning models to build themselves. It turns out that many of the issues in incentivised transactional machine learning are also common to the issues that turn up in modern e-commerce setting. These issues include issues of mechanism design, encouraging idealised behaviour while modelling for real behaviour, issues surrounding prediction markets, questions of improving market efficiencies, and handling arbitrage, issue on matching both human and machine market interfaces and much more. On the theoretical side, there is a direct relationship between scoring rules, market scoring rules, and exponential families via Bregman Divergences. On the practical side, the issues that turn up in auction design relate to issues regarding efficient probabilistic inference. The chances for each community to make big strides from understanding the developments in the others is significant. This workshop will bring together those involved in transactional and agent-based methods for machine learning, those involved in the development of methods and theory in e-commerce, those considering practical working algorithms for e-commerce or distributed machine learning and those working on financially incentivised crowd-sourcing. The workshop will explore issues around incentivisation, handling combinatorial markets, and developing distributed machine learning. However the primary benefit will be the interaction and informal discussion that will occur throughout the workshop.

Workshop Outline

We have many invited speakers who have agreed to contribute to an exciting programme, including

Robin Hanson       (http://en.wikipedia.org/wiki/Robin_Hanson)
Kevin Leyton-Brown (http://en.wikipedia.org/wiki/Kevin_Leyton-Brown)
David Parkes       (http://www.eecs.harvard.edu/~parkes/)
David Wolpert      (http://ti.arc.nasa.gov/profile/dhw/)
Sebastian Lahie    (http://research.microsoft.com/en-us/people/slahaie/)
Jenn Wortman Vaughan (http://www.jennwv.com/)
Bobby Kleinberg    (http://www.cs.cornell.edu/~rdk/)
Aaron Roth         (http://www.cis.upenn.edu/~aaroth/)

The workshop programme and further details are available on the workshop website. http://workshops.inf.ed.ac.uk/ml/nipstransactional/


Submission

If you wish to contribute a talk (in any area that could relate to the idea of transactional machine learning as described above) or poster+spotlight (in any area relating to transactional machine learning, e-commerce or economics) to this workshop, then please submit a title and abstract, and a pdf to the site below. Submissions should be sent by 20 October 2014 (though if you have something of interest after the deadline, we may still be interested to hear - however space is limited).

Submission Site: https://easychair.org/conferences/?conf=nipstrans2014


Organizers
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Amos Storkey, University of Edinburgh
Jake Abernethy, University of Michigan
Mark Reid, Australian National University


--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

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