Vianney Perchet

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #18,560 of 35,345 by trust here, #22,463 by citations
• Management Science and Operations Research — 18 citations into it; #5,518 of 11,946 by trust here, #5,787 by citations
• Reinforcement Learning — 9 citations into it
• Computer Networks and Communications — 7 citations into it
• Statistics and Probability — 5 citations into it

Whom Vianney Perchet trusts overall

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

1. Alexandre B. Tsybakov
2. Peter Auer
3. T. L. Lai Andherbertrobbins
4. Nicolò Cesa-Bianchi
5. Tze Leung Lai
6. Enno Mammen
7. Philippe Rigollet
8. Eyal Even-Dar
9. Sébastien Bubeck
10. Robert D. Kleinberg

Who trusts Vianney Perchet overall

1. Yimin Huang
2. Daniel Russo
3. Susan Athey
4. Yujun Li
5. Maria Dimakopoulou
6. Hamsa Bastani
7. Zhenguo Li

Papers from Vianney Perchet's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Some aspects of the sequential design of experiments
4. Gradient-based learning applied to document recognition
5. Asymptotically efficient adaptive allocation rules
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Asymptotically Efficient Adaptive Allocation Rules
8. Information Theory: 1948-1998 - Guest Editorial
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Gaussian Process Optimization with Mutual Information (2013) — 87 citations
• The multi-armed bandit problem with covariates (2011) — 193 citations
• A comparative study of counterfactual estimators (2017) — 10 citations
• Decentralized Learning in Online Queuing Systems (2021) — 22 citations