


Остановите войну!
for scientists:
Christopher Musco
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [i35]Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Low-memory Krylov subspace methods for optimal rational matrix function approximation. CoRR abs/2202.11251 (2022) - [i34]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Fast Regression for Structured Inputs. CoRR abs/2203.07557 (2022) - 2021
- [c29]Prathamesh Dharangutte, Christopher Musco:
Graph Learning for Inverse Landscape Genetics. AAAI 2021: 14739-14747 - [c28]Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai:
Finding an Approximate Mode of a Kernel Density Estimate. ESA 2021: 61:1-61:19 - [c27]Cameron Musco, Christopher Musco, David P. Woodruff:
Simple Heuristics Yield Provable Algorithms for Masked Low-Rank Approximation. ITCS 2021: 6:1-6:20 - [c26]Prathamesh Dharangutte, Christopher Musco:
Dynamic Trace Estimation. NeurIPS 2021: 30088-30099 - [c25]Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. SIGMOD Conference 2021: 1531-1544 - [c24]Sheng Wang
, Yuan Sun
, Christopher Musco, Zhifeng Bao
:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. SIGMOD Conference 2021: 1906-1919 - [c23]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. SOSA 2021: 142-155 - [i33]Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. CoRR abs/2103.16084 (2021) - [i32]Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. CoRR abs/2104.03353 (2021) - [i31]Vladimir Braverman, Aditya Krishnan, Christopher Musco:
Linear and Sublinear Time Spectral Density Estimation. CoRR abs/2104.03461 (2021) - [i30]Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Error bounds for Lanczos-based matrix function approximation. CoRR abs/2106.09806 (2021) - [i29]Christopher Musco, Indu Ramesh, Johan Ugander, R. Teal Witter:
How to Quantify Polarization in Models of Opinion Dynamics. CoRR abs/2110.11981 (2021) - [i28]Prathamesh Dharangutte, Christopher Musco:
Dynamic Trace Estimation. CoRR abs/2110.13752 (2021) - [i27]Cameron Musco, Christopher Musco, David P. Woodruff, Taisuke Yasuda:
Active Sampling for Linear Regression Beyond the $\ell_2$ Norm. CoRR abs/2111.04888 (2021) - 2020
- [c22]Vladimir Braverman, Petros Drineas, Cameron Musco, Christopher Musco, Jalaj Upadhyay, David P. Woodruff, Samson Zhou:
Near Optimal Linear Algebra in the Online and Sliding Window Models. FOCS 2020: 517-528 - [c21]Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco
:
Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers. ICASSP 2020: 4796-4800 - [c20]Tamás Erdélyi, Cameron Musco, Christopher Musco:
Fourier Sparse Leverage Scores and Approximate Kernel Learning. NeurIPS 2020 - [c19]Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Turning. NeurIPS 2020 - [c18]Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco:
Sample Efficient Toeplitz Covariance Estimation. SODA 2020: 378-397 - [c17]Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco
, Navid Nouri, Aaron Sidford, Jakab Tardos:
Fast and Space Efficient Spectral Sparsification in Dynamic Streams. SODA 2020: 1814-1833 - [c16]Uthsav Chitra, Christopher Musco
:
Analyzing the Impact of Filter Bubbles on Social Network Polarization. WSDM 2020: 115-123 - [i26]Cameron Musco, Christopher Musco:
Projection-Cost-Preserving Sketches: Proof Strategies and Constructions. CoRR abs/2004.08434 (2020) - [i25]Tamás Erdélyi, Cameron Musco, Christopher Musco:
Fourier Sparse Leverage Scores and Approximate Kernel Learning. CoRR abs/2006.07340 (2020) - [i24]Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Tuning. CoRR abs/2006.08035 (2020) - [i23]Prathamesh Dharangutte, Christopher Musco:
Graph Learning for Inverse Landscape Genetics. CoRR abs/2006.12334 (2020) - [i22]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. CoRR abs/2010.09649 (2020)
2010 – 2019
- 2019
- [c15]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh:
A universal sampling method for reconstructing signals with simple Fourier transforms. STOC 2019: 1051-1063 - [i21]Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco, Navid Nouri:
Faster Spectral Sparsification in Dynamic Streams. CoRR abs/1903.12165 (2019) - [i20]Cameron Musco, Christopher Musco, David P. Woodruff:
Low-Rank Approximation from Communication Complexity. CoRR abs/1904.09841 (2019) - [i19]Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco:
Sample Efficient Toeplitz Covariance Estimation. CoRR abs/1905.05643 (2019) - [i18]Uthsav Chitra, Christopher Musco:
Understanding Filter Bubbles and Polarization in Social Networks. CoRR abs/1906.08772 (2019) - [i17]Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco:
Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers. CoRR abs/1911.08015 (2019) - [i16]Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai:
Finding the Mode of a Kernel Density Estimate. CoRR abs/1912.07673 (2019) - 2018
- [b1]Christopher Musco
:
Faster linear algebra for data analysis and machine learning. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [c14]Frederik Mallmann-Trenn, Cameron Musco, Christopher Musco
:
Eigenvector Computation and Community Detection in Asynchronous Gossip Models. ICALP 2018: 159:1-159:14 - [c13]Jeremy G. Hoskins, Cameron Musco, Christopher Musco
, Babis Tsourakakis:
Inferring Networks From Random Walk-Based Node Similarities. NeurIPS 2018: 3708-3719 - [c12]Cameron Musco, Christopher Musco, Aaron Sidford:
Stability of the Lanczos Method for Matrix Function Approximation. SODA 2018: 1605-1624 - [c11]Cameron Musco, Christopher Musco
, Charalampos E. Tsourakakis:
Minimizing Polarization and Disagreement in Social Networks. WWW 2018: 369-378 - [i15]Jeremy G. Hoskins, Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis:
Learning Networks from Random Walk-Based Node Similarities. CoRR abs/1801.07386 (2018) - [i14]Frederik Mallmann-Trenn, Cameron Musco, Christopher Musco:
Eigenvector Computation and Community Detection in Asynchronous Gossip Models. CoRR abs/1804.08548 (2018) - [i13]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh
:
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees. CoRR abs/1804.09893 (2018) - [i12]Vladimir Braverman, Petros Drineas, Cameron Musco, Christopher Musco, Jalaj Upadhyay, David P. Woodruff, Samson Zhou:
Near Optimal Linear Algebra in the Online and Sliding Window Models. CoRR abs/1805.03765 (2018) - [i11]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh
:
A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms. CoRR abs/1812.08723 (2018) - 2017
- [j1]Michael Kapralov, Yin Tat Lee, Cameron Musco, Christopher Musco, Aaron Sidford:
Single Pass Spectral Sparsification in Dynamic Streams. SIAM J. Comput. 46(1): 456-477 (2017) - [c10]Christopher Musco
, Maxim Sviridenko, Justin Thaler:
Determining Tournament Payout Structures for Daily Fantasy Sports. ALENEX 2017: 172-184 - [c9]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco
, Ameya Velingker, Amir Zandieh:
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees. ICML 2017: 253-262 - [c8]Cameron Musco, Christopher Musco:
Recursive Sampling for the Nystrom Method. NIPS 2017: 3833-3845 - [c7]Michael B. Cohen, Cameron Musco, Christopher Musco:
Input Sparsity Time Low-rank Approximation via Ridge Leverage Score Sampling. SODA 2017: 1758-1777 - [i10]Cameron Musco, Christopher Musco, Aaron Sidford:
Stability of the Lanczos Method for Matrix Function Approximation. CoRR abs/1708.07788 (2017) - [i9]Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis:
Minimizing Polarization and Disagreement in Social Networks. CoRR abs/1712.09948 (2017) - 2016
- [c6]Roy Frostig, Cameron Musco, Christopher Musco
, Aaron Sidford:
Principal Component Projection Without Principal Component Analysis. ICML 2016: 2349-2357 - [i8]Christopher Musco, Maxim Sviridenko, Justin Thaler:
Determining Tournament Payout Structures for Daily Fantasy Sports. CoRR abs/1601.04203 (2016) - [i7]Roy Frostig, Cameron Musco, Christopher Musco, Aaron Sidford:
Principal Component Projection Without Principal Component Analysis. CoRR abs/1602.06872 (2016) - [i6]Cameron Musco, Christopher Musco:
Provably Useful Kernel Matrix Approximation in Linear Time. CoRR abs/1605.07583 (2016) - 2015
- [c5]Michael B. Cohen
, Yin Tat Lee, Cameron Musco, Christopher Musco, Richard Peng, Aaron Sidford:
Uniform Sampling for Matrix Approximation. ITCS 2015: 181-190 - [c4]Brendan Juba, Christopher Musco
, Fan Long, Stelios Sidiroglou-Douskos, Martin C. Rinard:
Principled Sampling for Anomaly Detection. NDSS 2015 - [c3]Cameron Musco, Christopher Musco:
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition. NIPS 2015: 1396-1404 - [c2]Michael B. Cohen
, Sam Elder, Cameron Musco, Christopher Musco, Madalina Persu:
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation. STOC 2015: 163-172 - [i5]Cameron Musco, Christopher Musco:
Stronger Approximate Singular Value Decomposition via the Block Lanczos and Power Methods. CoRR abs/1504.05477 (2015) - [i4]Michael B. Cohen, Cameron Musco, Christopher Musco:
Ridge Leverage Scores for Low-Rank Approximation. CoRR abs/1511.07263 (2015) - 2014
- [c1]Michael Kapralov, Yin Tat Lee, Cameron Musco, Christopher Musco, Aaron Sidford:
Single Pass Spectral Sparsification in Dynamic Streams. FOCS 2014: 561-570 - [i3]Michael Kapralov, Yin Tat Lee, Cameron Musco, Christopher Musco, Aaron Sidford:
Single Pass Spectral Sparsification in Dynamic Streams. CoRR abs/1407.1289 (2014) - [i2]Michael B. Cohen
, Yin Tat Lee, Cameron Musco, Christopher Musco, Richard Peng, Aaron Sidford:
Uniform Sampling for Matrix Approximation. CoRR abs/1408.5099 (2014) - [i1]Michael B. Cohen
, Sam Elder, Cameron Musco, Christopher Musco, Madalina Persu:
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation. CoRR abs/1410.6801 (2014)
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-05-05 21:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint