Matt Wytock

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Matt Wytock trusts overall

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

1. Han Liu
2. John D. Lafferty
3. Andrew Y. Ng
4. Larry A. Wasserman

Papers from Matt Wytock's perspective

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

1. Et al
2. The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
3. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
4. Wind power forecasting : state-of-the-art 2009.
5. On multivariate Gaussian copulas
6. Regression Shrinkage and Selection via the Lasso
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields (2013) — 43 citations