Adil El Mesaoudi-Paul

Management Science and Operations Research · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 26 citations into it; #9,595 of 11,946 by trust here, #9,383 by citations
• Artificial Intelligence — 22 citations into it; #28,699 of 35,345 by trust here, #30,347 by citations
• Reinforcement Learning — 18 citations into it; #1,905 of 2,242 by trust here, #2,092 by citations
• Computer Networks and Communications — 11 citations into it
• Information Retrieval & Search — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Adil El Mesaoudi-Paul trusts overall

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

1. Yisong Yue
2. Peter Auer
3. Thorsten Joachims
4. Masrour Zoghi
5. Martin A. Zinkevich
6. Nicolò Cesa-Bianchi
7. Shimon Whiteson
8. Adam Tauman Kalai
9. Olivier Chapelle
10. Katja Hofmann

Who trusts Adil El Mesaoudi-Paul overall

1. Akash Kumar Mohankumar

Papers from Adil El Mesaoudi-Paul's perspective

Ordered by how strongly the researchers Adil El Mesaoudi-Paul trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Asymptotically Efficient Adaptive Allocation Rules
6. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
7. Finite-time Analysis of the Multiarmed Bandit Problem
8. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
9. Asymptotically efficient adaptive allocation rules
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Preference-based Online Learning with Dueling Bandits: A Survey (2018) — 149 citations