Hilal Asi
I am a 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
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Near Instance-Optimality in Differential Privacy
with John Duchi.
[pdf]
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Element Level Differential Privacy
with John Duchi, Omid Javidbakht.
[pdf]
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Finding Planted Cliques in Sublinear Time
with Jay Mardia, Kabir Aladin Chandrasekher.
[pdf]
Conference publications
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Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
with John Duchi.
NeurIPS, 2020.
[pdf]
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Minibatch Stochastic Approximate Proximal Point Methods
with Karan Chadha, Gary Cheng, John Duchi.
NeurIPS, 2020.
[pdf]
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Modeling simple structures and geometry for better stochastic optimization algorithms
with John Duchi.
Artificial Intelligence and Statistics (AISTATS), 2019.
[pdf]
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Nearly Optimal Constructions of PIR and Batch Codes
with Eitan Yaakobi.
International Symposium on Information Theory (ISIT), 2017.
[pdf]
Journal publications
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The importance of better models in stochastic optimization
with John Duchi.
Proceedings of the National Academy of Sciences, 2019.
[pdf]
[code]
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Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
with John Duchi.
SIAM Journal on Optimization, 2019.
[pdf]
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Nearly Optimal Constructions of PIR and Batch Codes
with Eitan Yaakobi.
IEEE Transactions on Information Theory, 2019.
[pdf]