Ishaq Aden-Ali

I’m a third year CS Ph.D. student at UC Berkeley where I am very fortunate to be co-advised by Peter Bartlett and Jelani Nelson. I recently obtained my M.Sc. from McMaster University where I was very fortunate to be advised by Hassan Ashtiani. My name is pronounced Is-hak.

Research Interests:

I’m generally interested in learning theory, statistics, and theoretical computer science. A particular interest of mine is to understand how we can borrow mathematical tools developed in one of these research areas to solve problems in another.

Selected publications

  1. Preprint
    Majority-of-Three: The Simplest Optimal Learner?
    Ishaq Aden-Ali, Mikael Møller Høgsgaard, Kasper Green Larsen, and Nikita Zhivotovskiy
    2024
  2. FOCS
    Optimal PAC Bounds Without Uniform Convergence
    IEEE Symposium on Foundations of Computer Science, 2023
  3. COLT
    The One-Inclusion Graph Algorithm is not Always Optimal
    Conference on Learning Theory, 2023
  4. ALT
    On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
    Ishaq Aden-Ali, Hassan Ashtiani, and Gautam Kamath
    International Conference on Algorithmic Learning Theory, 2021