Division of Applied Mathematics, Brown University youngtak dot sohn at brown dot edu
I am an Assistant Professor in the Division of Applied Mathematics at Brown University. I work in probability theory and its interactions with mathematical statistics, theoretical computer science, and statistical physics. My current research interests includes high-dimensional statistics, random constraint satisfaction problems, statistical inference on random graphs, and spin glass theory. Here is my CV and Google Scholar page.
Universality of max-margin classifiers [arXiv]
with Andrea Montanari, Feng Ruan and Basil Saeed Preprint.
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime [arXiv]
with Andrea Montanari, Feng Ruan and Jun Yan Preprint.
Random constraint satisfaction problems
Upper bounds on the 2-colorability threshold of random d-regular k-uniform hypergraphs for k≥3 [arXiv]
with Evan Chang and Neel Kolhe
Accepted in proceedings of APPROX/RANDOM 2024. (Project mentored through MIT PRIMES).
Local geometry of NAE-SAT solutions in the condensation regime [arXiv][conference]
with Allan Sly Conference version in proceedings of 56th STOC (2024), pp. 1083-1093.
One-step replica symmetry breaking of random regular NAE-SAT II [arXiv][journal]
with Danny Nam and Allan Sly Communications in Mathematical Physics, 405 (2024), no.61, 61 pp.
One-step replica symmetry breaking of random regular NAE-SAT I [arXiv][conference]
with Danny Nam and Allan Sly Conference version in proceedings of 62nd FOCS (2021), pp. 310-318.
Statistical inference on random graphs
Weak recovery, hypothesis testing, and mutual information in stochastic block models and planted factor graphs [arXiv]
with Elchanan Mossel and Allan Sly Preprint.
Sharp thresholds in inference of planted subgraphs [arXiv][conference]
with Elchanan Mossel, Jonathan Niles-Weed, Nike Sun and Ilias Zadik Conference version in the proceedings of 36th COLT (2023), pp. 5573-5577.
Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees [arXiv][conference]
with Elchanan Mossel and Allan Sly Conference version in proceedings of 55th STOC (2023), pp. 96-102. Annals of Probability, accepted.
Agreement and Statistical Efficiency in Bayesian Perception Models [arXiv]
with Yash Deshpande and Elchanan Mossel Preprint.
Spin glass theory
Parisi formula for balanced Potts spin glass. [arXiv]
with Erik Bates Communications in Mathematical Physics, accepted.
Crisanti-Sommers formula and simultaneous symmetry breaking in multi-species spherical spin glasses [arXiv][journal]
with Erik Bates Communications in Mathematical Physics, 394 (2022), no. 3, pp. 1101–1152.
Free energy in multi-species mixed p-spin spherical models [arXiv][journal]
with Erik Bates Electronic Journal of Probability, 27 (2022), no.52, pp. 1-75 .
Replica symmetry breaking in multi-species Sherrington–Kirkpatrick model [arXiv][journal]
with Erik Bates and Leila Sloman Journal of Statistical Physics, 174 (2019), no. 2, pp. 333-350.
Recorded talks
"Exact phase transitions for stochastic block models and reconstruction on trees" (20 mins) [Youtube] Symposium on Theory of Computing (STOC), Jun 2023
"Local geometry of NAE-SAT solutions in the condensation regime" (50 mins) [Youtube] UT Austin, Graduate Mini-School in Groups, Dynamics, and Probability, May 2023
"One-step replica symmetry breaking of random regular NAE-SAT" (20 mins) [Youtube] Foundations of Computer Science (FOCS), Feb 2021
Teaching
Instructorship at MIT:
Seminar in Theroetical Computer Science (topic: Statistical Learning Theory), Fall 2023
Teaching Assistantship at Stanford:
Math 21, Calculus, Summer 2021
STATS 219, Stochastic Processes, Winter 2021
STATS 310A, Theory of Probability 1, Fall 2020
STATS 315B, Modern Applied Statistics: Data Mining, Spring 2020
STATS 203, Introduction to Regression Models and Analysis of Variance, Winter 2020, Summer 2017
STATS 110, Statistical Methods in Engineering and the Physical Sciences, Summer 2019
STATS 218, Introduction to Stochastic Processes 2, Spring 2021, 2019, 2017