publications

In reversed chronological order

2023

  1. Optimization on Manifolds via Graph Gaussian Processes
    Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi Yang
    Under Review, 2023
    arXiv
  2. FoDS
    Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors
    Hwanwoo Kim, Daniel Sanz-Alonso, and Alexander Strang
    Foundation of Data Science, 2023
    arXiv Code
  3. AISTATS
    Plus/Minus the Learning Rate: Easy and Scalable Inference with SGD
    Jerry Chee, Hwanwoo Kim, and Panos Toulis
    Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, 2023
    Code

2022

  1. JUQ
    A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
    Shiv Agrawal, Hwanwoo Kim, Daniel Sanz-Alonso, and Alexander Strang
    SIAM/ASA Journal of Uncertainty Quantification, 2022
    arXiv Code
  2. IP
    Graph-based prior and forward models for inverse problems on manifolds with boundaries
    John Harlim, Shixiao W Jiang, Hwanwoo Kim, and Daniel Sanz-Alonso
    Inverse Problems, 2022
    HTML

2019

  1. High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study
    S Ejaz Ahmed, Hwanwoo Kim, Gökhan Yıldırım, and Bahadır Yüzbaşı
    In International Workshop on Matrices and Statistics, 2019
    HTML

2016

  1. A sample size calculator for SMART pilot studies
    Hwanwoo Kim
    SIURO, 2016
    HTML Code

2015

  1. The Conditional Distribution of the Eigenvalues of the Ginibre Ensemble
    Hwanwoo Kim, and Eugene Siegel
    Technical Report, 2015
    PDF