Daniel Pemstein

Social Science Research Network · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Daniel Pemstein trusts overall

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

  1. Matthew D. Hoffman
  2. Andrew Gelman

Who trusts Daniel Pemstein overall

  1. Christopher Claassen
  2. C. Boix
  3. Svend-Erik Skaaning
  4. J. Gerring
  5. Michael Miller
  6. Jonathan K. Hanson

Papers from Daniel Pemstein's perspective

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

  1. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
  2. Measurement Validity: A Shared Standard for Qualitative and Quantitative Research
  3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  6. Pattern Recognition and Machine Learning
  7. Density estimation using Real NVP
  8. Learning Multiple Layers of Features from Tiny Images
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers