Alp Kucukelbir

Thesis
  • A. Kucukelbir
    Sparse and Steerable Representations for 3D Electron Cryomicroscopy
    Yale University. January 2014. (Thesis award.) pdf
Preprints
  • D. Tran, A. Kucukelbir, A.B. Dieng, M. Rudolph, D. Liang and D.M. Blei
    Edward: A library for probabilistic modeling, inference, and criticism
    arXiv:1610.09787, 2016. pdf
  • A. Kucukelbir and D.M. Blei
    Posterior Dispersion Indices
    arXiv:1605.07604, 2016. pdf
  • Y. Wang, A. Kucukelbir and D.M. Blei
    Reweighted Data for Robust Probabilistic Models
    arXiv:1606.03860, 2016. pdf
Journal Papers
  • D.M. Blei, A. Kucukelbir and J.D. McAuliffe
    Variational Inference: A Review for Statisticians
    Journal of the American Statistical Association, to appear 2016. pdf
  • A. Kucukelbir, D. Tran, R. Ranganath, A. Gelman and D.M. Blei
    Automatic Differentiation Variational Inference
    Journal of Machine Learning Research, 18(14), 2017. pdf
  • H.D. Tagare, A. Kucukelbir, F.J. Sigworth, H. Wang and M. Rao
    Directly Reconstructing Principal Components of Heterogeneous Particles from Cryo-EM Images
    Journal of Structural Biology 191(2), 2015. pdf
  • A. Kucukelbir, F.J. Sigworth and H.D. Tagare
    Quantifying The Local Resolution of Cryo-EM Density Maps
    Nature Methods, 11(1) 2014. pdf
  • A. Kucukelbir, F.J. Sigworth and H.D. Tagare
    A Bayesian Adaptive Basis Algorithm for Single Particle Reconstruction
    Journal of Structural Biology, 179(1) 2012. pdf
Conference Papers
  • A. Kucukelbir, R. Ranganath, A. Gelman and D.M. Blei
    Automatic Variational Inference in Stan
    Neural Information Processing Systems, 2015. pdf
  • A. Kucukelbir and D.M. Blei
    Population Empirical Bayes
    Uncertainty in Artificial Intelligence, 2015. pdf
  • A. Kucukelbir, A. Kushki and K.N. Plataniotis
    A New Stochastic Estimator for Tremor Frequency Tracking
    IEEE Acoustics, Speech and Signal Processing, 2009. pdf
Workshop Papers
  • A. Kucukelbir and D.M. Blei
    Bumping Variational Inference
    Advances in Variational Inference, NIPS 2014.
  • A. Kucukelbir, R. Ranganath, A. Gelman and D.M. Blei
    Fully Automatic Variational Inference of Differentiable Probability Models
    Probabilistic Programming, NIPS 2014.