Cosma Rohilla Shalizi
Statistics and Probability · 1999–2010
A researcher in the Science corpus: 7 papers; trusts 71 researchers and is trusted by 106 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 49 citations into it; #3,731 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 39 citations into it; #7,820 of 35,345 by trust here, #20,836 by citations
- Statistical and Nonlinear Physics — 28 citations into it; #322 of 10,127 by trust here, #215 by citations
- Statistical Learning Theory — 13 citations into it
- Molecular Biology — 13 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Economics and Econometrics — 11 citations into it; #1,300 of 23,481 by trust here, #1,083 by citations
- Computational Theory and Mathematics — 9 citations into it
Whom Cosma Rohilla Shalizi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David A. McAllester
- Tong Zhang
- Han Lin Shang
- Trevor J. Hastie
- Herbert Jaeger
- David Ruppert
- Peter M. Bentler
- Tom L. Burr
- Mark Newman
- Andrew R. Barron
Who trusts Cosma Rohilla Shalizi overall
- Krzysztof Chalupka
- Frederick Eberhardt
- Pietro Perona
- Giulio Tononi
- Tushar Agarwal
- Aaron Clauset
- Kristina Lerman
- Bin Jiang
- Joseph Bonneau
- Paul Heidhues
Papers from Cosma Rohilla Shalizi's perspective
Ordered by how strongly the researchers Cosma Rohilla Shalizi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences (2004) — 199 citations
- Power-Law Distributions in Empirical Data (2007) — 9,837 citations
- Homophily and Contagion Are Generically Confounded in Observational Social Network Studies (2010) — 1,060 citations
- Dynamics of Bayesian Updating with Dependent Data and Misspecified Models (2009) — 156 citations
- Philosophy and the practice of Bayesian statistics (2010) — 716 citations
- Causal architecture, complexity and self-organization in time series and cellular automata (2001) — 266 citations
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity (1999)