Si Si

According to our database1, Si Si authored at least 28 papers between 2009 and 2018.

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Bibliography

2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking.
CoRR, 2018

Nonlinear Online Learning with Adaptive Nyström Approximation.
CoRR, 2018

2017
Memory Efficient Kernel Approximation.
Journal of Machine Learning Research, 2017

GPU-acceleration for Large-scale Tree Boosting.
CoRR, 2017

Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Gradient Boosted Decision Trees for High Dimensional Sparse Output.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Kernel Ridge Regression via Partitioning.
CoRR, 2016

Communication-Efficient Parallel Block Minimization for Kernel Machines.
CoRR, 2016

Goal-Directed Inductive Matrix Completion.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Computationally Efficient Nyström Approximation using Fast Transforms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2014
Parallel matrix factorization for recommender systems.
Knowl. Inf. Syst., 2014

Beyond modeling private actions: predicting social shares.
Proceedings of the 23rd International World Wide Web Conference, 2014

The "expression gap": do you like what you share?
Proceedings of the 23rd International World Wide Web Conference, 2014

Multi-Scale Spectral Decomposition of Massive Graphs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Fast Prediction for Large-Scale Kernel Machines.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Memory Efficient Kernel Approximation.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Divide-and-Conquer Solver for Kernel Support Vector Machines.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Divide-and-Conquer Solver for Kernel Support Vector Machines.
CoRR, 2013

2012
Social image annotation via cross-domain subspace learning.
Multimedia Tools Appl., 2012

Multi-Scale Link Prediction
CoRR, 2012

Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multi-scale link prediction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Distribution Calibration in Riemannian Symmetric Space.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

2010
Bregman Divergence-Based Regularization for Transfer Subspace Learning.
IEEE Trans. Knowl. Data Eng., 2010

Evolutionary Cross-Domain Discriminative Hessian Eigenmaps.
IEEE Trans. Image Processing, 2010

Discriminative Hessian Eigenmaps for face recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Transfer Discriminative Logmaps.
Proceedings of the Advances in Multimedia Information Processing, 2009

Cross-Domain Web Image Annotation.
Proceedings of the ICDM Workshops 2009, 2009


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