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Clarkson, Kenneth L.
166  Ergebnisse:
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1

Combining data and theory for derivable scientific discover..:

Cornelio, Cristina ; Dash, Sanjeeb ; Austel, Vernon...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

Low-rank approximation with 1/𝜖1/3 matrix-vector products:

, In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing,
Bakshi, Ainesh ; Clarkson, Kenneth L. ; Woodruff, David P. - p. 1130-1143 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

Sparse Graph Based Sketching for Fast Numerical Linear Alge..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Hu, Dong ; Ubaru, Shashanka ; Gittens, Alex... - p. 3255-3259 , 2021
Link: https://doi.org/10.1109/..
 
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4

Random Sampling with Removal:

Clarkson, Kenneth L. ; Gärtner, Bernd ; Lengler, Johannes.
Discrete & Computational Geometry.  64 (2020)  3 - p. 700-733 , 2020
Link: https://doi.org/10.1007/..
 
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5

Comparing Direct and Indirect Transmission in a Simple Mode..:

Yagci Sokat, Kezban ; Edlund, Stefan ; Clarkson, Kenneth.
Mathematics.  7 (2019)  11 - p. 1039 , 2019
Link: https://doi.org/10.3390/..
 
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6

Hashing-Based Atlas Ranking and Selection for Multiple-Atla..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; Lecture Notes in Computer Science,
Katouzian, Amin ; Wang, Hongzhi ; Conjeti, Sailesh... - p. 543-551 , 2018
Link: https://doi.org/10.1007/..
 
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7

Low-Rank Approximation and Regression in Input Sparsity Tim:

Clarkson, Kenneth L. ; Woodruff, David P.
Journal of the ACM.  63 (2017)  6 - p. 1-45 , 2017
Link: https://doi.org/10.1145/..
 
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8

Low-rank PSD approximation in input-sparsity time:

, In: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms,
Clarkson, Kenneth L. ; Woodruff, David P. - p. 2061-2072 , 2017
Link: https://dl.acm.org/doi/1..
 
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9

Faster Kernel Ridge Regression Using Sketching and Precondi..:

Avron, Haim ; Clarkson, Kenneth L. ; Woodruff, David P.
SIAM Journal on Matrix Analysis and Applications.  38 (2017)  4 - p. 1116-1138 , 2017
Link: https://doi.org/10.1137/..
 
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10

Low-Rank Approximation and Regression in Input Sparsity Tim:

Clarkson, Kenneth L. ; Woodruff, David P.
Journal of the ACM (JACM).  63 (2017)  6 - p. 1-45 , 2017
Link: https://dl.acm.org/doi/1..
 
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11

Thirtieth Anniversary Note from the Editors in Chief:

Clarkson, Kenneth ; Pach, János ; Ziegler, Günter M.
Discrete & Computational Geometry.  55 (2016)  4 - p. 745-747 , 2016
Link: https://doi.org/10.1007/..
 
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12

The Fast Cauchy Transform and Faster Robust Linear Regressi..:

Clarkson, Kenneth L. ; Drineas, Petros ; Magdon-Ismail, Malik...
SIAM Journal on Computing.  45 (2016)  3 - p. 763-810 , 2016
Link: https://doi.org/10.1137/..
 
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13

Sketching for M-estimators : a unified approach to robus..:

, In: Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms,
Clarkson, Kenneth L. ; Woodruff, David P. - p. 921-939 , 2015
Link: https://dl.acm.org/doi/1..
 
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14

Self-Improving Algorithms for Coordinatewise Maxima and Con..:

Clarkson, Kenneth L. ; Mulzer, Wolfgang ; Seshadhri, C.
SIAM Journal on Computing.  43 (2014)  2 - p. 617-653 , 2014
Link: https://doi.org/10.1137/..
 
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15

The fast cauchy transform and faster robust linear regressi..:

, In: Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete algorithms,
Clarkson, Kenneth L. ; Drineas, Petros ; Magdon-Ismail, Malik... - p. 466-477 , 2013
Link: https://dl.acm.org/doi/1..
 
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