Matan Gavish
Statistics and Probability · 2010–2014
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 11 citations into it; #3,606 of 12,932 by trust here, #4,964 by citations
- Artificial Intelligence — 7 citations into it
- Computational Mechanics — 6 citations into it; #2,404 of 10,001 by trust here, #4,315 by citations
- Computational Theory and Mathematics — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Matan Gavish trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter D. Hoff
- Sugato Basu
- Florent Benaych-Georges
- Shira Kritchman
- Radford M. Neal
- Z. Bai
- Xiaojin Zhu
- Trevor J. Hastie
- Boaz Nadler
- Iain M. Johnstone
Who trusts Matan Gavish overall
- J. Nathan Kutz
- Sylvain Arlot
- Steven L. Brunton
- Tommaso Cai
- Kadierdan Kaheman
- Raif M. Rustamov
- Nir Sharon
- Xiuyuan Cheng
- David I. Shuman
- N. Benjamin Erichson
Papers from Matan Gavish's perspective
Ordered by how strongly the researchers Matan Gavish trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- On the distribution of the largest eigenvalue in principal components analysis
- Semi-Supervised Learning
- A wavelet tour of signal processing
- Statistical Learning Theory
- A Singular Value Thresholding Algorithm for Matrix Completion
- Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
- ImageNet classification with deep convolutional neural networks
- The approximation of one matrix by another of lower rank
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- The Optimal Hard Threshold for Singular Values is $4/\sqrt {3}$ (2014) — 490 citations
- Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning (2010) — 245 citations