Sang-Yun Oh

According to our database, Sang-Yun Oh authored at least 9 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Gaussian graphical models with latent confounders.

Ke Wang, Alexander Franks, Sang-Yun Oh

J. Multivar. Anal., 2023

2020

Distributionally Robust Formulation and Model Selection for the Graphical Lasso.

Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data.

Kshitij Khare, Sang-Yun Oh, Syed Rahman, Bala Rajaratnam

Mach. Learn., 2019

2018

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick

CoRR, 2017

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation.

Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication.

Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks.

Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection.

Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014