Alp Kucukelbir
Alp Kucukelbir
Assistant Professor (Adj.) of Computer Science, Columbia University
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Geciteerd door
Geciteerd door
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
Quantifying the local resolution of cryo-EM density maps
A Kucukelbir, FJ Sigworth, HD Tagare
Nature methods 11 (1), 63-65, 2014
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
The Journal of Machine Learning Research 18 (1), 430-474, 2017
Edward: A library for probabilistic modeling, inference, and criticism
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
Automatic variational inference in Stan
A Kucukelbir, R Ranganath, A Gelman, DM Blei
arXiv preprint arXiv:1506.03431, 2015
Robust probabilistic modeling with Bayesian data reweighting
Y Wang, A Kucukelbir, DM Blei
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Directly reconstructing principal components of heterogeneous particles from cryo-EM images
HD Tagare, A Kucukelbir, FJ Sigworth, H Wang, M Rao
Journal of structural biology 191 (2), 245-262, 2015
A Bayesian adaptive basis algorithm for single particle reconstruction
A Kucukelbir, FJ Sigworth, HD Tagare
Journal of structural biology 179 (1), 56-67, 2012
Fully automatic variational inference of differentiable probability models
A Kucukelbir, R Ranganath, A Gelman, D Blei
NIPS Workshop on Probabilistic Programming, 69, 2014
Population Empirical Bayes
A Kucukelbir, DM Blei
Uncertainty in Artificial Intelligence, 2015
Variational deep Q network
Y Tang, A Kucukelbir
arXiv preprint arXiv:1711.11225, 2017
Variance reduction for evolution strategies via structured control variates
Y Tang, K Choromanski, A Kucukelbir
International Conference on Artificial Intelligence and Statistics, 646-656, 2020
Evaluating Bayesian models with posterior dispersion indices
A Kucukelbir, Y Wang, DM Blei
International Conference on Machine Learning, 1925-1934, 2017
A new stochastic estimator for tremor frequency tracking
A Kucukelbir, A Kushki, KN Plataniotis
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Sparse and Steerable Representations for 3D Electron Cryomicroscopy
A Kucukelbir
Yale University, 2014
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
Y Tang, A Kucukelbir
International Conference on Artificial Intelligence and Statistics, 2863-2871, 2021
Probabilistic Modeling in Stan
A Kucukelbir
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