Olivier Teytaud

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #24,018 of 35,345 by trust here, #19,439 by citations
• Reinforcement Learning — 7 citations into it

Whom Olivier Teytaud trusts overall

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

1. Hans-Georg Beyer

Who trusts Olivier Teytaud overall

1. David Silver
2. Johannes Heinrich
3. Michael L. Littman

Papers from Olivier Teytaud's perspective

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

1. Random Search for Hyper-Parameter Optimization
2. Building a Large Annotated Corpus of English: The Penn Treebank
3. Efficient Global Optimization of Expensive Black-Box Functions
4. Finite-time Analysis of the Multiarmed Bandit Problem
5. Some aspects of the sequential design of experiments
6. Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
7. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
8. Asymptotically efficient adaptive allocation rules
9. Bandit Based Monte-Carlo Planning
10. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code

Their papers

• The grand challenge of computer Go (2012) — 240 citations
• Critical Hyper-Parameters: No Random, No Cry (2017) — 45 citations