Ilsang Ohn
- Learning fair representation with a parametric integral probability metric
2022/02/07 by Dong Ha Kim, Kunwoong Kim, Kim, Dongha +7 · 5 citations
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
- Optimal Bayesian estimation of Gaussian mixtures with growing number of components
2020/07/17 by Ilsang Ohn, Lizhen Lin, Ohn, Ilsang +1 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Distribution Estimation and Applications
- Nonconvex sparse regularization for deep neural networks and its optimality
2020/03/26 by Ilsang Ohn, Yongdai Kim, Ohn, Ilsang +1 · 1 citation
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Statistical Methods and Inference
- Nonparametric estimation of a factorizable density using diffusion models
2025/01/03 by Hyeok Kyu Kwon, Dong-Ha Kim, Kwon, Hyeok Kyu +5 · 3 citations
Mathematics · #62G07 (Primary) 62C20 #68T07 (Secondary) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
- SLIDE: a surrogate fairness constraint to ensure fairness consistency
2022/02/07 by Kunwoong Kim, Ilsang Ohn, Kim, Kunwoong +5 · 1 citation
Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
2023/05/24 by Insung Kong, Kong, Insung, Dong‐Yoon Yang +9 · 2 citations
Computer Science · Engineering · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Adaptive Bayesian Online Learning via Expert Aggregation
2026/07/22 by Jungbin Jun, Ilsang Ohn
#stat.ML #cs.LG