Tai, Wai Ming
- Near-Optimal Coresets of Kernel Density Estimates
2018/02/06 by Phillips, Jeff M., Tai, Wai Ming · 3 citations
#Computational Geometry (cs.CG) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal estimation of Gaussian DAG models
2022/01/25 by Gao, Ming, Tai, Wai Ming, Aragam, Bryon · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Mathesis: Towards Formal Theorem Proving from Natural Languages
2025/06/08 by Yu Xuejun, Jianyuan Zhong, Xuejun, Yu +32 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic, programming, and type systems #Mathematics, Computing, and Information Processing #Topic Modeling
- Breaking the curse of dimensionality in structured density estimation
2024/10/10 by Robert A. Vandermeulen, Vandermeulen, Robert A., Wai Ming Tai +3 · 3 citations
Mathematics · #60J10 #60J20 #62A09 #62G05 #62G07 #62M05 #62M40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Dimension-independent rates for structured neural density estimation
2024/11/22 by Robert A. Vandermeulen, Wai Ming Tai, Vandermeulen, Robert A. +3 · 1 voice · 3 citations
Computer Science · Mathematics · Neuroscience · #60J10 #60J20 #62A09 #62G05 #62G07 #62M05 #62M40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.4.10 #I.4.m #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function #Statistics Theory (math.ST) #cs.CV #cs.LG #math.ST #stat.ML
- Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures
2022/03/28 by Bryon Aragam, Wai Ming Tai, Aragam, Bryon +1 · 1 citation
Computer Science · #Machine Learning and Algorithms #Bayesian Methods and Mixture Models #Algorithms and Data Compression
- Learning Mixtures of Gaussians with Censored Data
2023/05/06 by Tai, Wai Ming, Aragam, Bryon · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Agnostic Active Learning of Single Index Models with Linear Sample Complexity
2024/05/15 by Aarshvi Gajjar, Gajjar, Aarshvi, Wai Ming Tai +9 · 1 citation
Computer Science · Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Algorithms