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SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

7 December 2021
Yuege Xie
Bobby Shi
Hayden Schaeffer
Rachel A. Ward
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Papers citing "SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning"

9 / 9 papers shown
Title
Cauchy Random Features for Operator Learning in Sobolev Space
Chunyang Liao
Deanna Needell
Hayden Schaeffer
26
0
0
01 Mar 2025
Generative Feature Training of Thin 2-Layer Networks
Generative Feature Training of Thin 2-Layer Networks
J. Hertrich
Sebastian Neumayer
GAN
26
1
0
11 Nov 2024
Random Feature Models for Learning Interacting Dynamical Systems
Random Feature Models for Learning Interacting Dynamical Systems
Yuxuan Liu
S. McCalla
Hayden Schaeffer
8
12
0
11 Dec 2022
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics
Esha Saha
L. Ho
Giang Tran
18
5
0
11 Nov 2022
Concentration of Random Feature Matrices in High-Dimensions
Concentration of Random Feature Matrices in High-Dimensions
Zhijun Chen
Hayden Schaeffer
Rachel A. Ward
10
6
0
14 Apr 2022
SRMD: Sparse Random Mode Decomposition
SRMD: Sparse Random Mode Decomposition
Nicholas Richardson
Hayden Schaeffer
Giang Tran
10
11
0
12 Apr 2022
HARFE: Hard-Ridge Random Feature Expansion
HARFE: Hard-Ridge Random Feature Expansion
Esha Saha
Hayden Schaeffer
Giang Tran
23
14
0
06 Feb 2022
Conditioning of Random Feature Matrices: Double Descent and
  Generalization Error
Conditioning of Random Feature Matrices: Double Descent and Generalization Error
Zhijun Chen
Hayden Schaeffer
26
12
0
21 Oct 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
77
152
0
02 Mar 2020
1