Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries. - John Harlim; Shixiao W. Jiang; Hwanwoo Kim; Daniel Sanz-Alonso (CoRR, 2021)

Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors. - Hwanwoo Kim; Daniel Sanz-Alonso; Alexander Strang (CoRR, 2022)

A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors. - Shiv Agrawal; Hwanwoo Kim; Daniel Sanz-Alonso; Alexander Strang (SIAM/ASA J. Uncertain. Quantification, 2022)

"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD. - Jerry Chee; Hwanwoo Kim; Panos Toulis (AISTATS, 2023)

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. - Hwanwoo Kim; Xin Zhang; Jiwei Zhao; Qinglong Tian (ICLR, 2024)

Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration. - Hwanwoo Kim; Daniel Sanz-Alonso (CoRR, 2024)

Optimization on Manifolds via Graph Gaussian Processes. - Hwanwoo Kim; Daniel Sanz-Alonso; Ruiyi Yang (SIAM J. Math. Data Sci., 2024)

Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? - Hwanwoo Kim; Chong Liu; Yuxin Chen (UAI, 2025)

Stabilizing Temporal Difference Learning via Implicit Stochastic Approximation. - Hwanwoo Kim; Panos Toulis; Eric Laber (CoRR, 2025)