Ji Zhu

According to our database, Ji Zhu authored at least 20 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks.

Yunpeng Zhao, Ning Hao, Ji Zhu

J. Mach. Learn. Res., 2024

2023

Community models for networks observed through edge nominations.

Tianxi Li, Elizaveta Levina, Ji Zhu

J. Mach. Learn. Res., 2023

Link Prediction for Egocentrically Sampled Networks.

Tianxi Li, Yun-Jhong Wu, Elizaveta Levina, Ji Zhu

J. Comput. Graph. Stat., 2023

Fair Information Spread on Social Networks with Community Structure.

Octavio Mesner, Elizaveta Levina, Ji Zhu

CoRR, 2023

2020

Detecting Overlapping Communities in Networks Using Spectral Methods.

Yuan Zhang, Elizaveta Levina, Ji Zhu

SIAM J. Math. Data Sci., 2020

High-dimensional Gaussian graphical models on network-linked data.

Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu

J. Mach. Learn. Res., 2020

2019

High-dimensional Gaussian graphical model for network-linked data.

Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu

CoRR, 2019

2018

Link prediction for egocentrically sampled networks.

Yun-Jhong Wu, Elizaveta Levina, Ji Zhu

CoRR, 2018

2015

Community Detection in Networks with Node Features.

Yuan Zhang, Elizaveta Levina, Ji Zhu

CoRR, 2015

2013

Link prediction for partially observed networks

Yunpeng Zhao, Elizaveta Levina, Ji Zhu

CoRR, 2013

2012

Sparse Ising Models with Covariates

Jie Cheng, Elizaveta Levina, Pei Wang, Ji Zhu

CoRR, 2012

2011

On Consistency of Community Detection in Networks

Yunpeng Zhao, Elizaveta Levina, Ji Zhu

CoRR, 2011

2004

Boosting as a Regularized Path to a Maximum Margin Classifier.

Saharon Rosset, Ji Zhu, Trevor Hastie

J. Mach. Learn. Res., 2004

The Entire Regularization Path for the Support Vector Machine.

Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu

J. Mach. Learn. Res., 2004

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning.

Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

1-norm Support Vector Machines.

Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Margin Maximizing Loss Functions.

Saharon Rosset, Ji Zhu, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Boosting and support vector machines as optimal separators.

Saharon Rosset, Ji Zhu, Trevor Hastie

Proceedings of the Document Recognition and Retrieval X, 2003

2002

Support Vector Machines, Kernel Logistic Regression and Boosting.

Ji Zhu, Trevor Hastie

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001

Kernel Logistic Regression and the Import Vector Machine.

Ji Zhu, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001