Publications

* for equal contributions.

Conferences

• Soheun Yi and Sanghack Lee, “Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models”. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. paper

Journals

• Soheun Yi and Ernest K. Ryu. “Convergence Analyses of Davis–Yin Splitting via Scaled Relative Graphs II: Convex Optimization Problems”. Optimization. arXiv

• Jongmin Lee*, Soheun Yi*, and Ernest K. Ryu. “Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs”. SIAM Journal on Optimization (SIOPT). arXiv

Preprints

• Soheun Yi, John Alison, and Mikael Kuusela. “Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions”. ML4PS Workshop at NeurIPS 2024. arXiv