Eero Laaksonen

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 — 22 citations into it; #33,729 of 35,345 by trust here, #28,481 by citations
• Computational Theory and Mathematics — 19 citations into it; #11,609 of 12,182 by trust here, #8,294 by citations

Whom Eero Laaksonen trusts overall

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

1. Peter I. Frazier

Who trusts Eero Laaksonen overall

1. Shuhei Watanabe

Papers from Eero Laaksonen's perspective

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

1. Efficient Global Optimization of Expensive Black-Box Functions
2. Bayesian Optimization with Inequality Constraints
3. The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
4. The Knowledge-Gradient Policy for Correlated Normal Beliefs
5. Engineering Design via Surrogate Modelling - A Practical Guide
6. Multi-Information Source Optimization
7. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
8. Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
9. Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
10. Batch Bayesian Optimization via Local Penalization

Their papers

• Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021) — 404 citations