N. Korda

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #6,404 of 35,345 by trust here, #13,544 by citations
• Reinforcement Learning — 34 citations into it; #504 of 2,242 by trust here, #1,015 by citations
• Management Science and Operations Research — 26 citations into it; #1,345 of 11,946 by trust here, #2,539 by citations
• Computer Networks and Communications — 10 citations into it
• Statistical Learning Theory — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom N. Korda trusts overall

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

1. Peter Auer
2. Richard S. Sutton
3. Lihong Li
4. Nicolò Cesa-Bianchi
5. T. L. Lai Andherbertrobbins
6. Andrew Barto
7. Aurélien Garivier
8. Wei Chu
9. Rajeev Agrawal
10. J. Langford

Who trusts N. Korda overall

1. Shipra Agrawal
2. Daniel Russo
3. Tor Lattimore
4. Emilie Kaufmann
5. Benjamin Van Roy
6. Sayak Ray Chowdhury
7. Ian Osband
8. Navin Goyal
9. Ziyun Wang
10. Aditya Gopalan

Papers from N. Korda's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Asymptotically efficient adaptive allocation rules
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis (2012) — 619 citations
• Finite-Time Analysis of Kernelised Contextual Bandits (2013) — 322 citations
• An Optimistic Posterior Sampling Strategy for Bayesian Reinforcement Learning (2013) — 13 citations
• Optimistic Bayesian Sampling in Contextual-Bandit Problems (2012) — 139 citations