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Active Learning for Single Neuron Models with Lipschitz Non-Linearities


Oct 24, 2022
Aarshvi Gajjar, Chinmay Hegde, Christopher Musco

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Active Sampling for Linear Regression Beyond the $\ell_2$ Norm


Nov 09, 2021
Cameron Musco, Christopher Musco, David P. Woodruff, Taisuke Yasuda

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* Abstract shortened to meet arXiv limits 

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Correlation Sketches for Approximate Join-Correlation Queries


Apr 07, 2021
Aécio Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire

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* Proceedings of the 2021 International Conference on Management of Data (SIGMOD '21) 

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Hutch++: Optimal Stochastic Trace Estimation


Nov 12, 2020
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff

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* To appears in SIAM Symposium on Simplicity in Algorithms (SOSA21) 

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Graph Learning for Inverse Landscape Genetics


Jun 30, 2020
Prathamesh Dharangutte, Christopher Musco

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The Statistical Cost of Robust Kernel Hyperparameter Tuning


Jun 14, 2020
Raphael A. Meyer, Christopher Musco

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Fourier Sparse Leverage Scores and Approximate Kernel Learning


Jun 12, 2020
Tamás Erdélyi, Cameron Musco, Christopher Musco

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