On Wed, Mar 21, 2018 at 04:43:56PM +0800, kaiqiang Xu wrote: > Dear Ryan, > > > I am Xu Kaiqiang, a 1st year master student major in computer science > studying at Univ. of Chinese Academy of Science. > I am so excited to find the problem of MVU + LRSDP, which triggers my > passion to fix it by using convex analysis, fluent C++ skills and big > interest. The courses I have learned, such as covex analysis and machine > learning, and experiences in development projects may help me figure it > out. > > I have read the tutorials and tasted serveral functions of the mlpack by > running some machine learning samples the other days. > After roughly reading the papers, and carefully understanding your replies > in the mlpack mail archives, I plan to check the correctness of MVU with > SDP, and then try to understand it. > Moreover, I plan to understand SDP/LRSDP. I think it may be helpful for my > proposal. > > Sorry to join project so late. Can you give me some advice about plans and > applying for GSoC this year?
Hi there Kaiqiang, Don't worry, it is not too late to join---the application deadline is not passed yet. Note that LRSDP is actually nonconvex optimization, not convex optimization, so some of the tools for debugging will not translate well. I agree that it would be very important to fully understand SDPs and LRSDPs before attempting this project. There is an application guide that may be helpful: https://github.com/mlpack/mlpack/wiki/Google-Summer-of-Code-Application-Guide Also, there is an unusual amount of interest in the MVU project this year. I just answered another email about it here: http://knife.lugatgt.org/pipermail/mlpack/2018-March/003697.html Maybe that response will be helpful to you. Thanks, Ryan -- Ryan Curtin | "It is very cold... in space." r...@ratml.org | - Khan _______________________________________________ mlpack mailing list mlpack@lists.mlpack.org http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack