Stéphan Clemencon
Artificial Intelligence · 2006–2016
A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #24,654 of 35,345 by trust here, #28,481 by citations
- Computer Networks and Communications — 24 citations into it; #3,495 of 9,886 by trust here, #3,862 by citations
- Statistics and Probability — 19 citations into it
- Optimization & Training — 11 citations into it; #1,562 of 2,601 by trust here, #1,715 by citations
- Algorithms & Complexity — 8 citations into it
- Computational Mechanics — 8 citations into it
- Statistical Learning Theory — 6 citations into it
- Mathematical Optimization — 6 citations into it
Whom Stéphan Clemencon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sara A. van de Geer
- Stéphane Boucheron
- Ingo Steinwart
- Alexandre B. Tsybakov
- Soumendra Nath Lahiri
- Angelia Nedić
- Olivier Bousquet
- A. van der Vaart
- Pascal Massart
- Gábor Lugosi
Who trusts Stéphan Clemencon overall
- Cynthia Rudin
- Shivani Agarwal
- Hanlin Tang
- Aurélien Bellet
- Harish Guruprasad Ramaswamy
- Paul Vanhaesebrouck
Papers from Stéphan Clemencon's perspective
Ordered by how strongly the researchers Stéphan Clemencon trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Optimal aggregation of classifiers in statistical learning
- Theory of classification : a survey of some recent advances
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Convexity, Classification, and Risk Bounds
- Uniform Central Limit Theorems
- Empirical Processes in M-Estimation
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Ranking the Best Instances (2006) — 104 citations
- Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions (2016) — 113 citations
- Extending Gossip Algorithms to Distributed Estimation of U-statistics (2015) — 16 citations
- Regenerative block bootstrap for Markov chains (2006) — 70 citations