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24 Results
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Poster
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Thu 17:00 |
On Distributed Averaging for Stochastic k-PCA Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena |
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Poster
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Thu 17:00 |
Towards Practical Alternating Least-Squares for CCA Zhiqiang Xu · Ping Li |
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Poster
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Wed 10:45 |
Robust Principal Component Analysis with Adaptive Neighbors Rui Zhang · Hanghang Tong |
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Poster
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Tue 10:45 |
Towards a Zero-One Law for Column Subset Selection Zhao Song · David Woodruff · Peilin Zhong |
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Poster
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Tue 10:45 |
Learning-Based Low-Rank Approximations Piotr Indyk · Ali Vakilian · Yang Yuan |
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Poster
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Wed 10:45 |
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG Yujia Jin · Aaron Sidford |
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Poster
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Thu 17:00 |
Average Case Column Subset Selection for Entrywise -Norm Loss Zhao Song · David Woodruff · Peilin Zhong |
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Poster
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Wed 17:00 |
Decentralized sketching of low rank matrices Rakshith Sharma Srinivasa · Kiryung Lee · Marius Junge · Justin Romberg |
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Poster
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Tue 17:30 |
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation Huaian Diao · Rajesh Jayaram · Zhao Song · Wen Sun · David Woodruff |
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Poster
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Wed 10:45 |
Fast and Accurate Least-Mean-Squares Solvers Ibrahim Jubran · Alaa Maalouf · Dan Feldman |
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Poster
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Thu 17:00 |
Outlier Detection and Robust PCA Using a Convex Measure of Innovation Mostafa Rahmani · Ping Li |
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Poster
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Thu 17:00 |
On Robustness of Principal Component Regression Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song |