In reversed chronological order


  1. arXiv
    Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration
    Hwanwoo Kim, and Daniel Sanz-Alonso
    Under Review, 2024
  2. ICLR
    ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
    Hwanwoo Kim, Xin Zhang, Jiwei Zhao, and Qinglong Tian
    International Conference on Learning Representations, 2024
    Optimization on Manifolds via Graph Gaussian Processes
    Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi Yang
    SIAM Journal on Mathematics of Data Science, 2024


  1. FoDS
    Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors
    Hwanwoo Kim, Daniel Sanz-Alonso, and Alexander Strang
    Foundation of Data Science, 2023
    Plus/Minus the Learning Rate: Easy and Scalable Inference with SGD
    Jerry Chee, Hwanwoo Kim, and Panos Toulis
    International Conference on Artificial Intelligence and Statistics, 2023


  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
  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


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


  1. SIURO
    A sample size calculator for SMART pilot studies
    Hwanwoo Kim, Edward Ionides, and Daniel Almirall
    SIAM Undergraduate Research Online, 2016


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