Hilal Asi

I am a second year PhD student at Stanford University, advised by John Duchi. Previously, I obtained a B.Sc. and M.Sc. from the department of computer science at the Technion, where I was advised by Eitan Yaakobi.

My current research interests lie in the span of optimization, learning theory, and more recently differential privacy.

Email: (last name) @ stanford.edu

Preprints

• The importance of better models in stochastic optimization
  With John Duchi. [pdf] [code]

Conference publications

• Modeling simple structures and geometry for better stochastic optimization algorithms
  With John Duchi.
  Artificial Intelligence and Statistics (AISTATS), 2019. [pdf]
• Nearly Optimal Constructions of PIR and Batch Codes
  With Eitan Yaakobi.
  International Symposium on Information Theory (ISIT), 2017. [pdf]

Journal publications

• Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
  With John Duchi.
  SIAM Journal on Optimization (to appear), 2019. [pdf]
• Nearly Optimal Constructions of PIR and Batch Codes
  With Eitan Yaakobi.
  IEEE Transactions on Information Theory, 2019. [pdf]