ML summer school at Purdue (June 13-24)

[Jennifer Neville]

Hi everyone--

We're organizing a two-week summer school in machine learning at Purdue in June. Information is below. Please pass along to any students you think would be interested.

Thanks!

--Jen

The Departments of Statistics and Computer Science at Purdue University with additional support from Discovery park at Purdue University will host a Machine Learning Summer School (MLSS, http://mlss.cc) from June13 (Monday) to June 24 (Friday), 2011. This school is suitable for all levels, both for people without previous knowledge in Machine Learning, and those wishing to broaden their expertise in this area.  Individuals without previous knowledge will be able to learn more about the theory and practice of Machine Learning, while those wishing to broaden their expertise in this area will find the advanced courses particularly useful. For more information, please visit our website:

http://learning.stat.purdue.edu/wiki/mlss/start

A partial list of confirmed speakers include:

* Leon Bottou, Microsoft Research
      * Talk Title: Large-Scale Machine Learning and Stochastic Algorithms

* William Cleveland, Purdue University
      * Talk Title: Divide and Recombine for the Analysis of Large Complex Data sets

* Marina Meila, University of Washington
      * Talk Title: Classic and modern data clustering

* Dale Schuurmans, University of Alberta, Canada
      * Talk Title: Unified perspectives on supervised, unsupervised and semi-supervised learning

* Satinder Singh (Baveja), University of Michigan, Ann Arbor.
      * Talk Title: Reinforcement Learning: From Control to Artificial Intelligence

* Alex Smola, Yahoo! research and Australian National University
      * Talk Title: Graphical Models for the Internet

* Ben Taskar, University of Pennsylvania
      * Talk Title: Structured Prediction

* Manfred Warmuth, University of California, Santa Cruz
      * Talk Title: Recent advances in boosting and online learning

The school will also feature a number of short talks on application areas such as robotics and social network analysis. 

Thanks to generous sponsorship from NSF, AFOSR (support pending), Computational Design and Innovation Lab, Microsoft Research, IBM
Research, Pascal 2, and Yahoo! a limited number of student scholarships based on academic merit and need are available (see website for priority ordering).

The total number of participants will be limited. So please register early. In particular, please note that the deadline for scholarship applications is April 15th.

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Jennifer Neville

Assistant Professor, Departments of Computer Science and Statistics

Purdue University, 305 North University Ave, West Lafayette, IN 47907

nev...@cs.purdue.edu; http://www.cs.purdue.edu/~neville/

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