Shota Yasui

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Management Science and Operations Research — 13 citations into it
• Reinforcement Learning — 13 citations into it
• Statistics and Probability — 10 citations into it

Whom Shota Yasui trusts overall

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

1. Adith Swaminathan
2. Steffen Rendle
3. Lihong Li
4. Stefan Wager
5. Sébastien Bubeck
6. Keith Knight
7. R´emi Munos
8. J. Langford
9. Xiaohong Chen
10. Thorsten Joachims

Papers from Shota Yasui's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. A contextual-bandit approach to personalized news article recommendation
3. Reinforcement Learning: An Introduction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Safe and Efficient Off-Policy Reinforcement Learning
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Human-level control through deep reinforcement learning

Their papers

• Efficient Counterfactual Learning from Bandit Feedback (2018) — 49 citations