Lizhen Lin
- Robust and Scalable Bayes via a Median of Subset Posterior Measures
2014/03/11 by Stanislav Minsker, Sanvesh Srivastava, Minsker, Stanislav +5 · 5 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Bayesian Methods and Mixture Models
- Extrinsic local regression on manifold-valued data
2015/08/10 by Lizhen Lin, Lin, Lizhen, B.S. Thomas +5 · 2 citations
Mathematics · #FOS: Mathematics #Morphological variations and asymmetry #Statistics Theory (math.ST)
- Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors
2018/11/15 by Kyoungjae Lee, Jaeyong Lee, Lee, Kyoungjae +3 · 2 citations
Mathematics · #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Random Matrices and Applications #Statistical Methods and Inference
- Hypothesis testing for populations of networks
2019/11/09 by Li Chen, Jie Zhou, Chen, Li +3 · 2 citations
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Random Matrices and Applications #Statistical Methods and Inference #Statistics Theory (math.ST)
- Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces
2013/06/24 by Rabi Bhattacharya, Bhattacharya, Rabi, Lizhen Lin +1 · 1 citation
Computer Science · Mathematics · #60E05 #60F05 #62E20 #62G20 #Bayesian Methods and Mixture Models #FOS: Mathematics #Morphological variations and asymmetry #Statistical Methods and Inference #Statistics Theory (math.ST)
- Bayesian nonparametric inference on the Stiefel manifold
2013/11/04 by Lizhen Lin, Vinayak Rao, Lin, Lizhen +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Morphological variations and asymmetry
- Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
2024/09/30 by Rong Tang, Tang, Rong, Lizhen Lin +3 · 3 citations
Mathematics · Computer Science · Engineering · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Control Systems and Identification
- Optimal Bayesian estimation of Gaussian mixtures with growing number of components
2020/07/17 by Ilsang Ohn, Ohn, Ilsang, Lizhen Lin +1 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Distribution Estimation and Applications
- Intrinsic Gaussian processes on complex constrained domains
2018/01/03 by Mu Niu, Niu, Mu, Pokman Cheung +9 · 1 citation
Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
2024/10/02 by Shivam Kumar, Yun Yang, Kumar, Shivam +3 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
2019/03/30 by Arash A. Amini, Amini, Arash A., Marina Silva Paez +3 · 2 citations
Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Complex Network Analysis Techniques #Advanced Clustering Algorithms Research
- Schreier-Coset Graph Rewiring
2026/07/29 by Aryan Mishra, Randy Martinez, Lizhen Lin
Computer Science · #cs.LG