Sanghack Lee

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Causal Inference & Discovery — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Statistics and Probability — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Sanghack Lee trusts overall

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

1. Judea Pearl
2. Elias Bareinboim
3. Peter M. Bentler
4. Peter Auer
5. Nicolò Cesa-Bianchi
6. Richard S. Sutton
7. Emilie Kaufmann
8. Olivier Capp'e
9. Jin Tian
10. Tom L. Burr

Who trusts Sanghack Lee overall

1. Elias Bareinboim
2. Curriculum Vitae
3. Jixiang Guo

Papers from Sanghack Lee's perspective

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

1. Reinforcement Learning: An Introduction
2. Causality : Models , Reasoning , and Inference
3. Asymptotically efficient adaptive allocation rules
4. Asymptotically Efficient Adaptive Allocation Rules
5. Causation, Prediction, and Search
6. ImageNet classification with deep convolutional neural networks
7. Finite-time Analysis of the Multiarmed Bandit Problem
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Their papers

• Structural Causal Bandits: Where to Intervene? (2018) — 124 citations
• Transportability from Multiple Environments with Limited Experiments (2013) — 42 citations