Tag: research

• What does the 'R-norm' reveal about efficient neural network approximation? (COLT 2023 paper with Navid and Daniel) (12 Jul 2023)
  
• How hard is it to learn an intersection of halfspaces? (COLT 2022 paper with Rocco, Daniel, and Manolis) (30 Jul 2022)
  
• How do SVMs and least-squares regression behave in high-dimensional settings? (NeurIPS 2021 paper with Navid and Daniel) (07 Dec 2021)
  
• How many neurons are needed to approximate smooth functions? A summary of our COLT 2021 paper (15 Aug 2021)
  

Archive

learning-theory technical over-parameterized candidacy least-squares research neural-net personal books background