Ilsang Ohn
Scholar

Ilsang Ohn

Google Scholar ID: NKpAW5QAAAAJ
Department of Statistics, Inha University
Bayesian nonparametricsDeep learningStatistical learning theory
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Citations & Impact
All-time
Citations
460
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗
Publications
8 items
Fast rates in Bayesian online learning with approximate posteriors
2026
Cited
0
Adaptive Bayesian Online Learning via Expert Aggregation
2026
Cited
0
Rate-optimal neural boundary detection from unlabeled noisy images
2026
Cited
0
Early-stopped aggregation: Adaptive inference with computational efficiency
2026
Cited
0
Variational bagging: a robust approach for Bayesian uncertainty quantification
2025
Cited
0
Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift
2025
Cited
0
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
2025
Cited
0
Nonparametric estimation of a factorizable density using diffusion models
2025
Cited
4
Resume
Research Experience
  • Postdoctoral researcher in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame, working with Professor Lizhen Lin.
Education
  • B.S. in Physics from Seoul National University; Ph.D. in Statistics from Seoul National University, supervised by Professor Yongdai Kim.
Background
  • The core of my research interest centers around theoretical properties of statistical methodologies including but not limited to Bayesian nonparametrics and deep learning.