Carolin Benjamins

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #34,357 of 35,345 by trust here, #33,294 by citations
• Neural Architecture Search & AutoML — 10 citations into it

Whom Carolin Benjamins trusts

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

1. Frank Hutter (in Artificial Intelligence)
2. Matthew Rocklin (in Computer Networks and Communications)

Who trusts Carolin Benjamins

1. Shuhei Watanabe (in Artificial Intelligence)

Papers from Carolin Benjamins's perspective

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

1. Practical Bayesian Optimization of Machine Learning Algorithms
2. Random Search for Hyper-Parameter Optimization
3. Random Forests
4. Sequential Model-Based Optimization for General Algorithm Configuration
5. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
6. Efficient Global Optimization of Expensive Black-Box Functions
7. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
8. Efficient and Robust Automated Machine Learning
9. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
10. Taking the Human Out of the Loop: A Review of Bayesian Optimization

Their papers

• SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization (2021) — 526 citations