Do, Dat

1. Strong identifiability and parameter learning in regression with heterogeneous response
   2022/12/08 by Do, Dat, Do, Linh, Nguyen, XuanLong · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
2. Entropic Gromov-Wasserstein between Gaussian Distributions
   2021/08/24 by Khang Le, Dung T. Le, Le, Khang +9 · 1 citation
   Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Information Theory (cs.IT) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Statistics Theory (math.ST)
3. On Label Shift in Domain Adaptation via Wasserstein Distance
   2021/10/29 by Trung Le, Dat Do, Le, Trung +11 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Methodology (stat.ME) #Multimodal Machine Learning Applications
4. Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
   2023/01/27 by Dat Do, Do, Dat, Huy Nguyen +5 · 1 citation
   Engineering · Mathematics · #Control Systems and Identification #Statistical Methods and Inference #Advanced Statistical Methods and Models