Kohei Yata

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 Kohei Yata 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

Papers from Kohei Yata's perspective

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

1. A contextual-bandit approach to personalized news article recommendation
2. Safe and Efficient Off-Policy Reinforcement Learning
3. ImageNet classification with deep convolutional neural networks
4. Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
5. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
6. Reinforcement Learning: An Introduction
7. Asymptotics for lasso-type estimators
8. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models

Their papers

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