Department of Mathematics, MIT 77 Massachusetts Avenue Cambridge, , MA02139-4307 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. My research lies at the intersection of mathematical statistics, probability theory, and statistical physics. Previously, I received my Ph.D. at Stanford Statistics, where I was fortunate to be advised by Amir Dembo. Here is my CV and Google Scholar page.
Publications and preprints
High-dimensional statistics
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 Annals of Statistics, Major revision requested.
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
Submitted (Project mentored through MIT PRIMES).
Local geometry of NAE-SAT solutions in the condensation regime [arXiv]
with Allan Sly Submitted.
One-step replica symmetry breaking of random regular NAE-SAT II [arXiv][conference]
with Danny Nam and Allan Sly Communications in Mathematical Physics , accepted Conference version in proceedings of 62nd FOCS (2021), pp. 310-318.
One-step replica symmetry breaking of random regular NAE-SAT I [arXiv]
with Danny Nam and Allan Sly Forum of Mathematics, Pi, Major revision requested.
Statistical inference on networks
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.
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 Submitted.
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), paper 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.
Talks
Duke University Workshop in Operations Research and Data Science, Nov 2023 [link]