Hwanwoo Kim

According to our database, Hwanwoo Kim authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Stabilizing Temporal Difference Learning via Implicit Stochastic Approximation.

Hwanwoo Kim, Panos Toulis, Eric Laber

CoRR, May, 2025

Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?

Hwanwoo Kim, Chong Liu, Yuxin Chen

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Optimization on Manifolds via Graph Gaussian Processes.

Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang

SIAM J. Math. Data Sci., March, 2024

Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration.

Hwanwoo Kim, Daniel Sanz-Alonso

CoRR, 2024

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift.

Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD.

Jerry Chee, Hwanwoo Kim, Panos Toulis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors.

Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang

CoRR, 2022

2021

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