Martin A. Tanner
Probabilistic & Bayesian Methods · 1990–2008
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 11 citations into it
Whom Martin A. Tanner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Martin A. Tanner overall
- Fredrik Lindsten
- Diederik P. Kingma
- Joseph G. Ibrahim
- Li Cai
- Mohammad Emtiyaz Khan
- P. de Valpine
- R. Neath
- Siddhartha Chib
- Jae Kwang Kim
- Michael I. Jordan
Papers from Martin A. Tanner's perspective
Ordered by how strongly the researchers Martin A. Tanner trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Sampling-Based Approaches to Calculating Marginal Densities
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Ordinary Economic Voting Behavior in the Extraordinary Election of Adolf Hitler (2008) — 144 citations
- Bayesian mixture of splines for spatially adaptive nonparametric regression (2002) — 63 citations
- Mixtures of marginal models (2000) — 70 citations
- Bayesian and Frequentist Inference for Ecological Inference: The R×C Case (2001) — 156 citations
- On the identifiability of mixtures-of-experts (1999)
- A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms (1990)