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All publications by Kai Yu
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Communication Efficient Distributed Machine Learning with the Parameter Server
Mu Li, David G. Andersen, Alex J. Smola and Kai Yu
Advances in Neural Information Processing Systems 27, 2014


Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu and Guy Lebanon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Shenghuo Zhu, Kai Yu and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Improved Local Coordinate Coding using Local Tangents
Kai Yu and Tong Zhang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


3D Convolutional Neural Networks for Human Action Recognition
Shuiwang Ji, Wei Xu, Ming Yang and Kai Yu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Deep Coding Network
Yuanqing Lin, Zhang Tong, Shenghuo Zhu and Kai Yu
Advances in Neural Information Processing Systems 23, 2010


Large-scale collaborative prediction using a nonparametric random effects model
Kai Yu, John D. Lafferty, Shenghuo Zhu and Yihong Gong
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Tutorial summary: Learning with dependencies between several response variables
Volker Tresp and Kai Yu
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang and Yihong Gong
Advances in Neural Information Processing Systems 22, 2009


Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu, Wei Xu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008


Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008


Robust multi-task learning with {\it t}-processes
Shipeng Yu, Volker Tresp and Kai Yu
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Local learning projections
Mingrui Wu, Kai Yu, Shipeng Yu and Bernhard Schölkopf
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu and Wei Chu
Advances in Neural Information Processing Systems 20, 2007


Predictive Matrix-Variate t Models
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 20, 2007


Collaborative ordinal regression
Shipeng Yu, Kai Yu, Volker Tresp and Hans-peter Kriegel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Active learning via transductive experimental design
Kai Yu, Jinbo Bi and Volker Tresp
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp and Zhao Xu
Advances in Neural Information Processing Systems 19, 2006


Learning Gaussian processes from multiple tasks
Kai Yu, Volker Tresp and Anton Schwaighofer
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Dirichlet enhanced relational learning
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu and Hans-peter Kriegel
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Soft Clustering on Graphs
Kai Yu, Shipeng Yu and Volker Tresp
Advances in Neural Information Processing Systems 18, 2005


Learning Gaussian Process Kernels via Hierarchical Bayes
Anton Schwaighofer, Volker Tresp and Kai Yu
Advances in Neural Information Processing Systems 17, 2004