Philipp Eichmann

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Eichmann trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Frank Hutter (in Optimization & Training)

Papers from Philipp Eichmann's perspective

Ordered by how strongly the researchers Philipp Eichmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Random Search for Hyper-Parameter Optimization
  3. Neural Architecture Search with Reinforcement Learning
  4. Scikit-learn: Machine Learning in Python
  5. Sequential Model-Based Optimization for General Algorithm Configuration
  6. TensorFlow: A system for large-scale machine learning
  7. Learning to learn by gradient descent by gradient descent
  8. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
  9. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
  10. ImageNet classification with deep convolutional neural networks

Their papers