publications

Under Review / Revision

  1. arXiv
    Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration
    Hwanwoo Kim, and Eric Laber
    Under Review, 2026+
    arXiv
  2. arXiv
    Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
    Hwanwoo Kim, Simon Mak, Ann-Kathrin Schuetz, and Alan Poon
    Under Revision, 2026+
    arXiv
  3. arXiv
    Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
    Hwanwoo Kim, Panos Toulis, and Eric Laber
    Under Review, 2026+
    arXiv

Published & Accepted

2026

  1. AISTATS
    Implicit Updates for Average-Reward Temporal Difference Learning
    Hwanwoo Kim, Dongkyu Cho, and Eric Laber
    International Conference on Artificial Intelligence and Statistics, 2026
    arXiv

2025

  1. UAI
    Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
    Hwanwoo Kim, Chong Liu, and Yuxin Chen
    Conference on Uncertainty in Artificial Intelligence, 2025
    arXiv HTML Code
  2. JUQ
    Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration
    Hwanwoo Kim, and Daniel Sanz-Alonso
    SIAM/ASA Journal of Uncertainty Quantification, 2025
    arXiv HTML Code

2024

  1. 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
    arXiv HTML
  2. SIMODS
    Optimization on Manifolds via Graph Gaussian Processes
    Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi Yang
    SIAM Journal on Mathematics of Data Science, 2024
    arXiv HTML

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
    arXiv HTML Code
  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
    HTML 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 HTML 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
    arXiv HTML

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
    HTML

2016

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