Hien D. Nguyen

1. A Universal Approximation Theorem for Mixture of Experts Models
   2016/02/11 by Hien D. Nguyen, Luke R. Lloyd‐Jones, Nguyen, Hien D +3 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Methods and Inference
2. Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces
   2020/08/22 by TrungTin Nguyen, Nguyen, TrungTin, Faïcel Chamroukhi +5 · 3 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
3. Non-asymptotic model selection in block-diagonal mixture of polynomial\n experts models
   2021/04/18 by TrungTin Nguyen, Nguyen, TrungTin, Faïcel Chamroukhi +5 · 1 citation
   Computer Science · Mathematics · #62E17 (Primary) 62H30 #62H12 (Secondary) #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
4. Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback--Leibler Divergence
   2024/04/19 by Mark Chiu Chong, Hien D. Nguyen, Chong, Mark Chiu +3 · 2 citations
   Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference