CORDIS Project
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This project aims to establish a solid theoretical foundation for deep learning by exploring the optimization, statistical complexity, and representation of neural networks. It seeks to understand the learning capabilities of stochastic gradient descent and the generalization abilities of neural networks, ultimately le…
While extremely successful, deep learning (DL) still lacks a solid theoretical foundation.In the last 5 years the PI focused almost entirely on DL theory, yielding a strong publication record with 7 papers at NeurIPS (the leading ML conference), including 2 spotlights (top 3% of submitted papers) and one oral (top 1%), 2 papers at ICLR (the leading DL conference), and 1 paper at COLT (the leading ML theory conference).
These results are amongst the first that break a 20 years hiatus in NN theory…
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