Notes from the WCCI

I sat through several sessions and met some really great people at the WCCI in Beijing. First, Yann LaCun gave one of the best plenary lectures I have had the pleasure of sitting through. Yann gave a great overview of learning representations and convolutional neural networks, and finished off the talk with a really impressive demo. Here are a couple of notes that I took sitting through some of the sessions.

  • Paul Werbos gave a great talk on where he sees some of the grand challenges. One of the themes of his talk was combining approaches from supervised, unsupervised and reinforcement learning, which is an area of interests in his division at the NSF as well as improvements to the optimization of ADP problems.
    P. Werbos, “From ADP to the Brain: Foundations, roadmap, challenges and research priorities,” in International Joint Conference on Neural Networks, 2014.
  • S. Wang et al. presented an interesting multi-objective optimization problem to find the Pareto-optimal weights for OOB and UOB, such that the minority class and majority class recalls are simultaneously maximized.
    S. Wang, L. L. Minku, and X. Yao, “A multi-objective ensemble method for online class imbalance learning,” in International Joint Conference on Neural Networks, 2014.

Maybe I’ll update this later with more notes.


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