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Christopher Musco

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A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy

Dec 18, 2023
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco

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Structured Semidefinite Programming for Recovering Structured Preconditioners

Oct 27, 2023
Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian

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Improved Active Learning via Dependent Leverage Score Sampling

Oct 08, 2023
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare

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Moments, Random Walks, and Limits for Spectrum Approximation

Jul 02, 2023
Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh

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Dimensionality Reduction for General KDE Mode Finding

Jun 01, 2023
Xinyu Luo, Christopher Musco, Cas Widdershoven

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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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Correlation Sketches for Approximate Join-Correlation Queries

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

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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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