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papers

Publications (41)

stat.ML2016

Information Limits for Recovering a Hidden Community

Bruce Hajek, Yihong Wu, Jiaming Xu

stat.ML2015

Submatrix localization via message passing

Bruce Hajek, Yihong Wu, Jiaming Xu

stat.ML2018

Learning from Comparisons and Choices

Sahand Negahban, Sewoong Oh, Kiran K. Thekumparampil +1

stat.ML2014

Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs

Jiaming Xu, Rui Wu, Kai Zhu +3

stat.ML2018

Recovering a Hidden Community Beyond the Kesten-Stigum Threshold in $O(|E| \log^*|V|)$ Time

Bruce Hajek, Yihong Wu, Jiaming Xu

stat.ML2015

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices

Yudong Chen, Jiaming Xu

cs.IR2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Wen Chen, Pipei Huang, Jiaming Xu +7

stat.ML2019

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model

Zhou Fan, Cheng Mao, Yihong Wu +1

stat.ML2016

Semidefinite Programs for Exact Recovery of a Hidden Community

Bruce Hajek, Yihong Wu, Jiaming Xu

math.ST2018

Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits

Yihong Wu, Jiaming Xu

cs.LG2018

Seeded Graph Matching via Large Neighborhood Statistics

Elchanan Mossel, Jiaming Xu

cs.LG2018

Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks

Jing Shi, Jiaming Xu, Yiqun Yao +1

math.ST2017

Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization

Jess Banks, Cristopher Moore, Nicolas Verzelen +2

cs.IR2016

Hierarchical Memory Networks for Answer Selection on Unknown Words

Jiaming Xu, Jing Shi, Yiqun Yao +2

stat.ML2015

Clustering and Inference From Pairwise Comparisons

Rui Wu, Jiaming Xu, R. Srikant +3

cs.IT2011

Broadcast Channels with Delayed Finite-Rate Feedback: Predict or Observe?

Jiaming Xu, Jeffrey G. Andrews, Syed A. Jafar

cs.NI2019

Improved queue-size scaling for input-queued switches via graph factorization

Jiaming Xu, Yuan Zhong

cs.DM2018

Hidden Hamiltonian Cycle Recovery via Linear Programming

Vivek Bagaria, Jian Ding, David Tse +2

cs.DC2017

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Yudong Chen, Lili Su, Jiaming Xu

cs.IR2015

Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags

Jiaming Xu, Bo Xu, Guanhua Tian +3

math.ST2018

Convex Relaxation Methods for Community Detection

Xiaodong Li, Yudong Chen, Jiaming Xu

cs.LG2015

Collaboratively Learning Preferences from Ordinal Data

Sewoong Oh, Kiran K. Thekumparampil, Jiaming Xu

stat.ML2016

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions

Bruce Hajek, Yihong Wu, Jiaming Xu

stat.ML2014

Minimax-optimal Inference from Partial Rankings

Bruce Hajek, Sewoong Oh, Jiaming Xu

math.ST2019

The All-or-Nothing Phenomenon in Sparse Linear Regression

Galen Reeves, Jiaming Xu, Ilias Zadik

stat.ML2015

Reconstruction in the Labeled Stochastic Block Model

Marc Lelarge, Laurent Massoulié, Jiaming Xu

cs.IR2018

Cascaded Mutual Modulation for Visual Reasoning

Yiqun Yao, Jiaming Xu, Feng Wang +1

math.ST2015

Computational Lower Bounds for Community Detection on Random Graphs

Bruce Hajek, Yihong Wu, Jiaming Xu

stat.ML2016

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming

Bruce Hajek, Yihong Wu, Jiaming Xu

cs.IT2012

The Supermarket Game

Jiaming Xu, Bruce Hajek

stat.ML2016

Density Evolution in the Degree-correlated Stochastic Block Model

Elchanan Mossel, Jiaming Xu

cs.DC2019

Securing Distributed Gradient Descent in High Dimensional Statistical Learning

Lili Su, Jiaming Xu

math.PR2019

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality

Zhou Fan, Cheng Mao, Yihong Wu +1

math.ST2014

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results

Jiaming Xu, Laurent Massoulié, Marc Lelarge

cs.IT2010

On the Accuracy of the Wyner Model in Cellular Networks

Jiaming Xu, Jun Zhang, Jeffery G. Andrews

math.ST2016

Convexified Modularity Maximization for Degree-corrected Stochastic Block Models

Yudong Chen, Xiaodong Li, Jiaming Xu

cs.CL2016

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling

Peng Zhou, Zhenyu Qi, Suncong Zheng +3

stat.ML2015

Local Algorithms for Block Models with Side Information

Elchanan Mossel, Jiaming Xu

stat.ML2017

Rates of Convergence of Spectral Methods for Graphon Estimation

Jiaming Xu

cs.IR2017

Self-Taught Convolutional Neural Networks for Short Text Clustering

Jiaming Xu, Bo Xu, Peng Wang +3

cs.IT2016

Mutual Information in Rank-One Matrix Estimation

Florent Krzakala, Jiaming Xu, Lenka Zdeborová