Benedict C. May

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Management Science and Operations Research — 10 citations into it
• Reinforcement Learning — 9 citations into it; #1,853 of 2,242 by trust here, #1,778 by citations

Whom Benedict C. May trusts overall

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

1. Richard S. Sutton
2. Peter Auer
3. T. L. Lai Andherbertrobbins
4. Lihong Li
5. Rajeev Agrawal
6. Nicolò Cesa-Bianchi
7. John C. Gittins
8. Andrew Barto
9. Aurélien Garivier
10. Olivier Chapelle

Who trusts Benedict C. May overall

1. Shipra Agrawal
2. Eric M. Schwartz
3. Ziyun Wang
4. Navin Goyal
5. Daniel Russo
6. Eric T. Bradlow
7. Babak Shakibi
8. Benjamin Van Roy

Papers from Benedict C. May's perspective

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

1. Reinforcement Learning: An Introduction
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
7. Asymptotically Efficient Adaptive Allocation Rules
8. Long Short-Term Memory
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Optimistic Bayesian Sampling in Contextual-Bandit Problems (2012) — 139 citations