Levina, Elizaveta
- Concentration and regularization of random graphs
2015/06/01 by Le, Can M., Levina, Elizaveta, Vershynin, Roman · 7 citations
#05C80 #05C85 #60B20 #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
- Network cross-validation by edge sampling
2016/12/14 by Tianxi Li, Li, Tianxi, Elizaveta Levina +3 · 6 citations
Neuroscience · Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (stat.ML) #Mental Health Research Topics #Methodology (stat.ME)
- Latent space models for multiplex networks with shared structure
2020/12/28 by Peter W. MacDonald, Elizaveta Levina, MacDonald, Peter W. +3 · 6 citations
Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Bootstrapping Networks with Latent Space Structure
2019/07/25 by Levin, Keith, Levina, Elizaveta · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Estimating the number of communities in networks by spectral methods
2015/07/03 by Le, Can M., Levina, Elizaveta · 2 citations
#62H12 #62H30 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
- Estimating network edge probabilities by neighborhood smoothing
2015/09/29 by Zhang, Yuan, Levina, Elizaveta, Zhu, Ji · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Hierarchical Community Detection by Recursive Partitioning
2018/10/02 by Tianxi Li, Li, Tianxi, Lihua Lei +11 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Generalized linear models with low rank effects for network data
2017/05/18 by Yun-Jhong Wu, Elizaveta Levina, Wu, Yun-Jhong +3 · 2 citations
Physics and Astronomy · Neuroscience · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Functional Brain Connectivity Studies
- Latent process models for functional network data
2022/10/14 by Peter W. MacDonald, Elizaveta Levina, MacDonald, Peter W. +3 · 2 citations
Neuroscience · Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Methodology (stat.ME)
- Link prediction for partially observed networks
2013/01/29 by Zhao, Yunpeng, Levina, Elizaveta, Zhu, Ji · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- High-dimensional Mixed Graphical Models
2013/04/09 by Jie Cheng, Tianxi Li, Cheng, Jie +5 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
- On semidefinite relaxations for the block model
2014/06/21 by Amini, Arash A., Levina, Elizaveta · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- Detecting Overlapping Communities in Networks Using Spectral Methods
2014/12/10 by Zhang, Yuan, Levina, Elizaveta, Zhu, Ji · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
2024/10/15 by Bong, Heejong, Fogarty, Colin B., Levina, Elizaveta +1 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)