I am a third year PhD student at University of Pennsylvania in Wharton Department of Statistics and Data Science.

I am broadly interested in the intersections between statistics, optimization and theoretical computer science.

Email: jinhobok [at] upenn [dot] edu

Research

Learning Acceleration Algorithms for Fast Parametric Convex Optimization with Certified Robustness [arXiv][code]
R. Sambharya, J. Bok, N. Matni, G. Pappas

Optimized Methods for Composite Optimization: A Reduction Perspective [arXiv]
J. Bok, J. M. Altschuler
(Preliminary conference version appeared as:
Accelerating Proximal Gradient Descent via Silver Stepsizes [arXiv][PMLR]
J. Bok, J. M. Altschuler
COLT 2025.)

Shifted Interpolation for Differential Privacy [arXiv][PMLR][code]
J. Bok, W. Su, J. M. Altschuler
ICML 2024
FORC 2024 (non-archival track).

On the Privacy of Noisy Stochastic Gradient Descent for Convex Optimization [SICOMP]
(alph) J. M. Altschuler, J. Bok, K. Talwar
SIAM Journal on Computing, 2024.
(Preliminary conference version appeared as:
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss [arXiv][NeurIPS]
J. M. Altschuler, K. Talwar
NeurIPS 2022.)