Sang-Yun Oh

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 10

Top Topics

Model Selection

Optimization Methods

Top Venues

Publications

Ke Wang, Alexander Franks, Sang-Yun Oh
Learning Gaussian graphical models with latent confounders. J. Multivar. Anal. 198 (2023)
Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh
Distributionally Robust Formulation and Model Selection for the Graphical Lasso. AISTATS (2020)
Pedro Cisneros-Velarde, Sang-Yun Oh, Alexander Petersen
Distributionally Robust Formulation and Model Selection for the Graphical Lasso. CoRR (2019)
Kshitij Khare, Sang-Yun Oh, Syed Rahman, Bala Rajaratnam
A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data. Mach. Learn. 108 (12) (2019)
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. AISTATS (2018)
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. CoRR (2017)
Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation. AISTATS (2017)
Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication. IPDPS (2016)
Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. ICMLA (2016)
Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks. CoRR (2016)
Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. NIPS (2014)
Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. CoRR (2014)