Posts

  • Generative models are the new sparsity?

    denoising using generative models This post is about my latests preprint with Dustin Mixon about signal denosing with generative networks.

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  • Pywren, the cloud, and certificates of optimality

    In theory, theory and practice are the same, but in practice, they’re not. This phrase is probably a cliché but I think it captures part of the spirit of Ben Recht’s “quixotic quest for super-linear algorithms” talk on Tuesday at Simons.

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  • Two commencements

    This post is about the end of my PhD and the beginning of a new chapter.

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  • An interview in Short, Fat Matrices

    Recently, I was interviewed by Dustin Mixon for Short, Fat Matrices. The interview is about our recent paper, A polynomial-time relaxation of the Gromov-Hausdorff distance, with Afonso Bandeira, Andrew Blumberg and Rachel Ward. Thanks Dustin for your thoughtful questions!
  • Gromov-Hausdorff and matching