Bo Xie

Affiliations:
  • Facebook, CA, USA
  • Georgia Institute of Technology, Atlanta, GA, USA (former)
  • Chinese University of Hong Kong (former)
  • Nanyang Technological University, Singapore (former)


According to our database1, Bo Xie authored at least 24 papers between 2010 and 2018.

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Bibliography

2018
Deep Semi-Random Features for Nonlinear Function Approximation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Algorithms and analysis for non-convex optimization problems in machine learning.
PhD thesis, 2017

On the Complexity of Learning Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Diverse Neural Network Learns True Target Functions.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification.
IEEE Trans. Image Process., 2016

Diversity Leads to Generalization in Neural Networks.
CoRR, 2016

Communication Efficient Distributed Kernel Principal Component Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Isotonic Hawkes Processes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Distributed Kernel Principal Component Analysis.
CoRR, 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Large-scale insider trading analysis: patterns and discoveries.
Soc. Netw. Anal. Min., 2014

Scalable Kernel Methods via Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Poly(A) motif prediction using spectral latent features from human DNA sequences.
Bioinform., 2013

Inside insider trading: patterns & discoveries from a large scale exploratory analysis.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
m-SNE: Multiview Stochastic Neighbor Embedding.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Toward the Optimization of Normalized Graph Laplacian.
IEEE Trans. Neural Networks, 2011

Music Tagging with Regularized Logistic Regression.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
m-SNE: Multiview Stochastic Neighbor Embedding.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Large-scale Dictionary Learning For Local Coordinate Coding.
Proceedings of the British Machine Vision Conference, 2010


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