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Hyperparameter optimization: A spectral approach
Elad Hazan
, Adam Klivans
, Yang Yuan
Computer Science
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Research output
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Contribution to conference
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Paper
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peer-review
45
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Keyphrases
Hyperparameters
100%
Spectral Approach
100%
Hyperparameter Optimization
100%
Decision Tree
66%
Neural Network
33%
Order of Magnitude
33%
Fast Algorithm
33%
Orthogonal Polynomials
33%
Uniform Sampling
33%
Random Search
33%
Computation Time
33%
Parallelizable
33%
Compressed Sensing
33%
Improved Solution
33%
Quasi-polynomial
33%
Iterative Applications
33%
Discrete Fourier Transform
33%
Sensing Technique
33%
High-dimensional Regime
33%
Boolean Analysis
33%
Bayesian Optimization
33%
CIFAR-10
33%
Hyperband Optimization
33%
Spearmint
33%
Hyperband
33%
Training Deep Neural Networks
33%
Mathematics
Running Time
100%
Decision Tree
100%
Polynomial
50%
Neural Network
50%
Orthogonal Polynomial
50%
Random Search
50%
Fast Algorithm
50%
Boolean Function
50%
Discrete Fourier Transform
50%
Deep Neural Network
50%
Bayesian Optimization
50%
Computer Science
Decision Trees
100%
Neural Network
50%
Polynomial Time
50%
Fast Algorithm
50%
Efficient Algorithm
50%
Uniform Sampling
50%
Computation Time
50%
Boolean Function
50%
Compressed Sensing
50%
Fourier Transform
50%
Iterative Application
50%
Deep Neural Network
50%