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1603.06560
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Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
21 March 2016
Lisha Li
Kevin G. Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
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Papers citing
"Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"
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Title
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Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
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Machine Learning Emulation of Urban Land Surface Processes
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Location Leakage in Federated Signal Maps
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Physics-informed neural networks via stochastic Hamiltonian dynamics learning
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Advances in Neural Rendering
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Misspecified Gaussian Process Bandit Optimization
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Safe Data Collection for Offline and Online Policy Learning
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LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
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ConformalLayers: A non-linear sequential neural network with associative layers
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Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
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ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
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Predicting Chemical Hazard across Taxa through Machine Learning
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