Kevin Robert Canini

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #18,873 of 35,345 by trust here, #15,542 by citations
• Optimization & Training — 14 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Computational Mechanics — 7 citations into it; #5,076 of 10,001 by trust here, #7,173 by citations
• Mathematical Optimization — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Kevin Robert Canini trusts overall

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

1. Yurii E. Nesterov
2. Tin Kam Ho
3. Trevor J. Hastie
4. Paul Tseng
5. John C. Duchi
6. Doris Weichselbaumer
7. Michael Collins
8. Yoram Singer
9. Eric R. Ziegel

Who trusts Kevin Robert Canini overall

1. Peter Richtárik
2. Andrew Cotter
3. Olivier Fercoq
4. Maya R. Gupta
5. Zheng Qu
6. Albert S. Berahas
7. Richard H. Byrd
8. Haipeng Luo
9. Martin Takác
10. Raghu Bollapragada

Papers from Kevin Robert Canini's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. The Elements of Statistical Learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Stochastic Approximation approach to Stochastic Programming
6. Random Forests
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Primal-dual subgradient methods for convex problems
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Monotonic Calibrated Interpolated Look-Up Tables (2015) — 148 citations
• Parallel Boosting with Momentum (2013) — 35 citations
• Fast and Flexible Monotonic Functions with Ensembles of Lattices (2016) — 76 citations
• Categorization as nonparametric Bayesian density estimation (2008) — 59 citations