St'ephan Cl'emenccon
Statistics and Probability · 2006
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it; #4,332 of 12,932 by trust here, #5,294 by citations
- Statistical Learning Theory — 9 citations into it; #552 of 1,038 by trust here, #678 by citations
- Artificial Intelligence — 8 citations into it; #12,245 of 35,345 by trust here, #20,377 by citations
Whom St'ephan Cl'emenccon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Haussler
- Stéphane Boucheron
- Peter L. Bartlett
- Colin J. H. McDiarmid
- Steve Smale
- Pascal Massart
- Felipe Cucker
- Olivier Bousquet
- W. Hoeffding
- Radosław Adamczak
Who trusts St'ephan Cl'emenccon overall
- Yiming Ying
- Shivani Agarwal
- Tie-Yan Liu
- Cynthia Rudin
- Colin Campbell
- Liva Ralaivola
- Yining Wang
- Allison Chang
- Fabian Pedregosa
- Marie Szafranski
Papers from St'ephan Cl'emenccon's perspective
Ordered by how strongly the researchers St'ephan Cl'emenccon trusts endorse each paper. Same corpus, a different order for every researcher.
- A Probabilistic Theory of Pattern Recognition
- Optimal aggregation of classifiers in statistical learning
- Statistical behavior and consistency of classification methods based on convex risk minimization
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- On the mathematical foundations of learning
- Theory of classification : a survey of some recent advances
- Local Rademacher complexities and oracle inequalities in risk minimization
- Gradient-based learning applied to document recognition
- Concentration inequalities and model selection
Their papers
- Ranking and empirical minimization of U-statistics (2006) — 385 citations