Microsoft Research Blog

Winning combination: 2019 Microsoft Research Ada Lovelace and PhD Fellowships support top talent 

January 17, 2019 | Sandy Blyth
Microsoft Research is proud to announce the 2019 winners of the Ada Lovelace Fellowship and PhD Fellowship. The Ada Lovelace Fellowship is a new fellowship for Microsoft Research, established to support diverse talent getting doctorates in computing-related fields by providing three years of funding for…

Recent Posts

  1. A Deep Learning Theory: Global minima and over-parameterization 

    December 10, 2018 | Zeyuan Allen-Zhu, Yuanzhi Li, and Zhao Song

    One empirical finding in deep learning is that simple methods such as stochastic gradient descent (SGD) have a remarkable ability to fit training data. From a capacity perspective, this may not be surprising— modern neural networks are heavily over-parameterized, with the number of parameters much…

  2. Unlikely research area reveals surprising twist in non-smooth optimization

    Unlikely research area reveals surprising twist in non-smooth optimization 

    December 4, 2018 | Sébastien Bubeck

    Modern machine learning is characterized by two key features: high-dimensional models and very large datasets. Each of these features presents its own unique challenges, from basic issues such as storing and accessing all of the data to more intricate mathematical quests such as finding good…

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