Probabilistic Machine Learning

Research output

Research output per year 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

• 196 Article
• 149 Conference article in proceedings
• 19 Doctoral Thesis
• 10 Paper
• 45 More
  • 7 Chapter
  • 6 Book
  • 6 Conference article
  • 4 Abstract
  • 3 Meeting Abstract
  • 3 Letter
  • 2 Anthology
  • 2 Poster
  • 2 Review Article
  • 2 Other contribution
  • 2 Patent
  • 2 Working paper
  • 1 Foreword / postscript
  • 1 Comment/debate
  • 1 Editorial
  • 1 Special issue

Research output per year

Research output per year

Search results

• 2017

  Pareto Smoothed Importance Sampling

  Vehtari, A., Gelman, A. & Gabry, J., 2017.

  Research output: Working paper › Professional
• 2016

  Hierarchical expectation propagation for Bayesian aggregation of average data

  Weber, S., Gelman, A., Carpenter, B., Lee, D., Betancourt, M., Vehtari, A. & Racine, A., 2016, arXiv.org.

  Research output: Working paper › Professional