Robin Allesiardo
Artificial Intelligence · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #18,413 of 35,345 by trust here, #28,481 by citations
- Management Science and Operations Research — 22 citations into it; #5,475 of 11,946 by trust here, #8,469 by citations
- Reinforcement Learning — 21 citations into it
- Statistical Learning Theory — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Robin Allesiardo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Auer
- T. L. Lai Andherbertrobbins
- Sham M. Kakade
- Emilie Kaufmann
- Tze Leung Lai
- J. Langford
- Lihong Li
- Nicolò Cesa-Bianchi
- Vladimir Naumovich Vapni
- Levente Kocsis
Who trusts Robin Allesiardo overall
Papers from Robin Allesiardo's perspective
Ordered by how strongly the researchers Robin Allesiardo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Neural Networks Committee for the Contextual Bandit Problem (2014) — 93 citations
- Random Forest for the Contextual Bandit Problem (2015) — 50 citations