Hwanwoo Kim

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Variational Inference

Preference Learning

Kernel Density Estimation

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Math. Data Sci.

Publications

Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. ICLR (2024)
Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang
Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. 6 (1) (2024)
Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift. CoRR (2024)
Hwanwoo Kim, Daniel Sanz-Alonso
Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration. CoRR (2024)
Jerry Chee, Hwanwoo Kim, Panos Toulis
"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD. AISTATS (2023)
Shiv Agrawal, Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors. SIAM/ASA J. Uncertain. Quantification 10 (4) (2022)
Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang
Optimization on Manifolds via Graph Gaussian Processes. CoRR (2022)
Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang
Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors. CoRR (2022)
John Harlim, Shixiao W. Jiang, Hwanwoo Kim, Daniel Sanz-Alonso
Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries. CoRR (2021)