René Sass

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; #34,358 of 35,345 by trust here, #33,294 by citations
• Neural Architecture Search & AutoML — 10 citations into it

Whom René Sass 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 René Sass

1. Shuhei Watanabe (in Artificial Intelligence)

Papers from René Sass's perspective

Ordered by how strongly the researchers René Sass 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. Efficient Global Optimization of Expensive Black-Box Functions
6. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
7. Efficient and Robust Automated Machine Learning
8. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
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