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All publications by Fei Sha
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Exponential Integration for Hamiltonian Monte Carlo
Wei-lun Chao, Justin Solomon, Dominik Michels and Fei Sha
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-maillet and Alexandros Kalousis
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Marginalized Denoising Auto-encoders for Nonlinear Representations
Minmin Chen, Kilian Q. Weinberger, Fei Sha and Yoshua Bengio
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Demystifying Information-Theoretic Clustering
Greg V. Steeg, Aram Galstyan, Fei Sha and Simon Dedeo
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Diverse Sequential Subset Selection for Supervised Video Summarization
Boqing Gong, Wei-lun Chao, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 27, 2014


Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung J. Hwang, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


Similarity Component Analysis
Soravit Changpinyo, Kuan Liu and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha, Gert R. Lanckriet and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 25, 2012


Semantic Kernel Forests from Multiple Taxonomies
Sung J. Hwang, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 25, 2012


Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi and Fei Sha
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Fei Sha and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha and Sung J. Hwang
Advances in Neural Information Processing Systems 24, 2011


Learning with Whom to Share in Multi-task Feature Learning
Zhuoliang Kang, Kristen Grauman and Fei Sha
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Information Theoretical Clustering via Semidefinite Programming
Meihong Wang and Fei Sha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Unsupervised Kernel Dimension Reduction
Meihong Wang, Fei Sha and Michael I. Jordan
Advances in Neural Information Processing Systems 23, 2010


Locally Linear Denoising on Image Manifolds
Dian Gong, Fei Sha and Gérard G. Medioni
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Matrix updates for perceptron training of continuous density hidden Markov models
Chih-chieh Cheng, Fei Sha and Lawrence K. Saul
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-julien, Fei Sha and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Regression on manifolds using kernel dimension reduction
Jens Nilsson, Fei Sha and Michael I. Jordan
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Graph Laplacian Regularization for Large-Scale Semidefinite Programming
Kilian Q. Weinberger, Fei Sha, Qihui Zhu and Lawrence K. Saul
Advances in Neural Information Processing Systems 19, 2006


Large Margin Hidden Markov Models for Automatic Speech Recognition
Fei Sha and Lawrence K. Saul
Advances in Neural Information Processing Systems 19, 2006


Analysis and extension of spectral methods for nonlinear dimensionality reduction
Fei Sha and Lawrence K. Saul
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learning a kernel matrix for nonlinear dimensionality reduction
Kilian Q. Weinberger, Fei Sha and Lawrence K. Saul
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization
Fei Sha and Lawrence K. Saul
Advances in Neural Information Processing Systems 17, 2004


Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines
Fei Sha, Lawrence K. Saul and Daniel D. Lee
Advances in Neural Information Processing Systems 15, 2002