Követés
Alp Kucukelbir
Alp Kucukelbir
Adjunct Professor of Computer Science, Columbia University
E-mail megerősítve itt: cs.columbia.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
62742017
Quantifying the local resolution of cryo-EM density maps
A Kucukelbir, FJ Sigworth, HD Tagare
Nature methods 11 (1), 63-65, 2014
18422014
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
Journal of machine learning research 18 (14), 1-45, 2017
9662017
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
3702016
Automatic variational inference in Stan
A Kucukelbir, R Ranganath, A Gelman, D Blei
Advances in neural information processing systems 28, 2015
3212015
Robust probabilistic modeling with Bayesian data reweighting
Y Wang, A Kucukelbir, DM Blei
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1202017
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
812015
A Bayesian adaptive basis algorithm for single particle reconstruction
A Kucukelbir, FJ Sigworth, HD Tagare
Journal of structural biology 179 (1), 56-67, 2012
252012
Fully automatic variational inference of differentiable probability models
A Kucukelbir, R Ranganath, A Gelman, D Blei
NIPS Workshop on Probabilistic Programming, 69, 2014
212014
Hindsight expectation maximization for goal-conditioned reinforcement learning
Y Tang, A Kucukelbir
International Conference on Artificial Intelligence and Statistics, 2863-2871, 2021
192021
Variational deep Q network
Y Tang, A Kucukelbir
arXiv preprint arXiv:1711.11225, 2017
182017
Population Empirical Bayes
A Kucukelbir, DM Blei
Uncertainty in Artificial Intelligence, 2015
152015
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
122020
Evaluating Bayesian models with posterior dispersion indices
A Kucukelbir, Y Wang, DM Blei
International Conference on Machine Learning, 1925-1934, 2017
62017
A new stochastic estimator for tremor frequency tracking
A Kucukelbir, A Kushki, KN Plataniotis
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
52009
Artificial Intelligence for climate change mitigation roadmap
D Sandalow, C McCormick, A Kucukelbir, J Friedman, T Nagrani, Z Fan, ...
ICEF Innovation Roadmap Project, 2023
32023
Sparse and Steerable Representations for 3D Electron Cryomicroscopy
A Kucukelbir
Yale University, 2014
22014
Treeffuser: Probabilistic predictions via conditional diffusions with gradient-boosted trees
N Beltran-Velez, AA Grande, A Nazaret, A Kucukelbir, D Blei
arXiv preprint arXiv:2406.07658, 2024
12024
Machine Learning and Climate
A Kucukelbir, N Beltran
Instructor, 2025
2025
PRINCIPAL CO-AUTHORS
C McCormick, A Kucukelbir, J Friedmann, M Nachmany, H Lee, A Hill, ...
2024
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