Álvaro Tejero-Cantero

Statistics and Probability · 2014–2020

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

Subfields

Whom Álvaro Tejero-Cantero trusts overall

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

  1. Kyle Cranmer
  2. Stephen G. Walker
  3. Michael U Gutmann
  4. Gilles Louppe
  5. Scott Anthony Sisson
  6. Atilim Gunes Baydin
  7. Tuan Anh Le
  8. Joeri Hermans
  9. David S. Greenberg
  10. Radford M. Neal

Papers from Álvaro Tejero-Cantero's perspective

Ordered by how strongly the researchers Álvaro Tejero-Cantero trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Pattern Recognition and Machine Learning
  2. Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Inference Compilation and Universal Probabilistic Programming
  5. Sequential Monte Carlo without likelihoods
  6. Automatic Posterior Transformation for Likelihood-Free Inference (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. Flexible statistical inference for mechanistic models of neural dynamics
  9. Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
  10. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Their papers