Thomas Nedelec

Management Science and Operations Research · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Statistics and Probability — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Thomas Nedelec trusts overall

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

1. Dimitri P. Bertsekas
2. Philip S. Thomas
3. Leonid Peshkin
4. Doina Precup
5. Richard S. Sutton
6. Keisuke Hirano
7. L. Eon Bottou
8. M. Powell
9. Emma Brunskill
10. Christian R. Shelton

Papers from Thomas Nedelec's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Eligibility Traces for Off-Policy Policy Evaluation
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Doubly Robust Policy Evaluation and Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Offline A/B Testing for Recommender Systems (2018) — 256 citations
• A comparative study of counterfactual estimators (2017) — 10 citations