Kyurae Kim
Scholar

Kyurae Kim

Google Scholar ID: pKGsQ1cAAAAJ
PhD Student, University of Pennsylvania
Bayesian inferencestochastic optimizationmachine learningsignal processing
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Citations & Impact
All-time
Citations
202
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
12 items
A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Su?cient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
2026
Cited
0
Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
2026
Cited
0
Purely Agentic Black-Box Optimization for Biological Design
2026
Cited
0
Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
2025
Cited
0
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
2025
Cited
0
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
2025
Cited
0
Personalized Convolutional Dictionary Learning of Physiological Time Series
2025
Cited
0
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
2025
Cited
0
Resume (English only)
Co-authors
17 total
Jacob Gardner
Jacob Gardner
University of Pennsylvania
Yi-An Ma
Yi-An Ma
UC San Diego
Kaiwen Wu
Kaiwen Wu
University of Pennsylvania
Co-author 4
Co-author 4
Sungyong Park
Sungyong Park
Professor, Department of Computer Science and Engineering, Sogang University, South Korea
Youngjae Kim
Youngjae Kim
Professor, Department of Computer Science and Engineering, Sogang University
Alain Durmus
Alain Durmus
Ecole polytechnique
Samuel Gruffaz
Samuel Gruffaz
ENS Paris-Saclay