Emile Contal

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #28,506 of 35,345 by trust here, #33,294 by citations
• Management Science and Operations Research — 5 citations into it; #9,442 of 11,946 by trust here, #10,893 by citations

Whom Emile Contal trusts overall

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

1. Robert D. Kleinberg
2. Andreas Krause
3. Peter Auer
4. Donald R. Jones
5. Sébastien Bubeck
6. Niranjan Srinivas
7. Nicolò Cesa-Bianchi
8. Cheng Soon Ong
9. Matthias Schonlau
10. R´emi Munos

Who trusts Emile Contal overall

1. Daniel Russo
2. Benjamin Van Roy

Papers from Emile Contal's perspective

Ordered by how strongly the researchers Emile Contal 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. Information Theory: 1948-1998 - Guest Editorial
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Finite-time Analysis of the Multiarmed Bandit Problem
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet classification with deep convolutional neural networks
8. Practical Bayesian Optimization of Machine Learning Algorithms
9. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
10. Reinforcement Learning: An Introduction

Their papers

• Gaussian Process Optimization with Mutual Information (2013) — 87 citations