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High-Dimensional Optimization in Adaptive Random Subspaces

High-Dimensional Optimization in Adaptive Random Subspaces

27 June 2019
Jonathan Lacotte
Mert Pilanci
Marco Pavone
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Papers citing "High-Dimensional Optimization in Adaptive Random Subspaces"

5 / 5 papers shown
Title
Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified
  Sketches
Fast Kernel Methods for Generic Lipschitz Losses via ppp-Sparsified Sketches
T. Ahmad
Pierre Laforgue
Florence dÁlché-Buc
19
5
0
08 Jun 2022
Precise expressions for random projections: Low-rank approximation and
  randomized Newton
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski
Feynman T. Liang
Zhenyu A. Liao
Michael W. Mahoney
13
23
0
18 Jun 2020
Optimal Randomized First-Order Methods for Least-Squares Problems
Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte
Mert Pilanci
17
30
0
21 Feb 2020
Optimal Iterative Sketching with the Subsampled Randomized Hadamard
  Transform
Optimal Iterative Sketching with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte
Sifan Liu
Edgar Dobriban
Mert Pilanci
8
8
0
03 Feb 2020
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
75
278
0
09 Aug 2012
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