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  • Andrew Ng: Unbiggen AI

    Andrew Ng has serious street cred in artificial intelligence. He pioneered the use of graphics processing units (GPUs) to train deep learning models in the late 2000s with his students at Stanford University, cofounded Google Brain in 2011, and then served for three years as chief scientist for…

    IEEE Spectrum13 min read
  • Notes on the Origin of Implicit Regularization in SGD

    I wanted to highlight an intriguing paper I presented at a journal club recently:Samuel L Smith, Benoit Dherin, David Barrett, Soham De (2021) On the Origin of Implicit Regularization in Stochastic Gradient DescentThere's actually a related paper that came out simultaneously, studying full-batch…

    inFERENCe7 min read
  • An information maximization view on the $\beta$-VAE objective

    guest post with Dóra JámborThis is a half-guest-post written jointly with Dóra, a fellow participant in a reading group where we recently discussed the original paper on $\beta$-VAEs:Irina Higgins et al (ICLR 2017): $\beta$-VAE:

    inFERENCe10 min read

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