Youngtak Sohn

Department of Mathematics, MIT
77 Massachusetts Avenue
Cambridge, , MA 02139-4307
youngtak at mit.edu

I am a postdoc at MIT Mathematics hosted by Elchanan Mossel and Nike Sun. I am also a member of NSF/Simons program Collaborations on the theoretical foundations of deep learning. Previously, I received my Ph.D. at Stanford Statistics, where I was fortunate to be advised by Amir Dembo. I am broadly interested in probability theory and high-dimensional statistics. Here is my CV.

Publications and preprints

• Agreement and Statistical Efficiency in Bayesian Perception Models [arXiv]
  Yash Deshpande, Elchanan Mossel and Youngtak Sohn
  Preprint.
• One-step replica symmetry breaking of random regular NAE-SAT I [arXiv]
  Danny Nam, Allan Sly and Youngtak Sohn
  Preprint.
• The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime [arXiv]
  Andrea Montanari, Feng Ruan, Youngtak Sohn and Jun Yan
  Under major revision at Annals of Statistics.
• Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees [arXiv]
  Elchanan Mossel, Allan Sly and Youngtak Sohn
  Conference version to appear in proceedings of 55th STOC (2023).
• One-step replica symmetry breaking of random regular NAE-SAT II [arXiv][conference]
  Danny Nam, Allan Sly and Youngtak Sohn
  Conference version in proceedings of 62nd FOCS (2021), pp. 310-318.
• Crisanti-Sommers formula and simultaneous symmetry breaking in multi-species spherical spin glasses [arXiv][journal]
  Erik Bates and Youngtak Sohn
  Communications in Mathematical Physics. 394 (2022), no. 3, 1101–1152.
• Free energy in multi-species mixed p-spin spherical models [arXiv][journal]
  Erik Bates and Youngtak Sohn
  Electronic Journal of Probability. 27(2022), paper no.52, 75pp.
• Replica symmetry breaking in multi-species Sherrington–Kirkpatrick model [arXiv][journal]
  Erik Bates, Leila Sloman and Youngtak Sohn
  Journal of Statistical Physics.174(2019), no.2, 333-350.

Talks