publications

In reversed chronological order

2024

  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
  3. SIMODS
    Optimization on Manifolds via Graph Gaussian Processes
    Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi Yang
    SIAM Journal on Mathematics of Data Science, 2024

2023

  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
  2. AISTATS
    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

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
  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

2019

  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

2016

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

2015

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