Следене
Rajesh Ranganath
Rajesh Ranganath
Assistant Professor, NYU
Потвърден имейл адрес: cs.princeton.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
H Lee, R Grosse, R Ranganath, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
34532009
Black box variational inference
R Ranganath, S Gerrish, D Blei
Artificial intelligence and statistics, 814-822, 2014
13372014
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
Journal of machine learning research 18 (14), 1-45, 2017
8602017
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K Huang, J Altosaar, R Ranganath
arXiv preprint arXiv:1904.05342, 2019
8402019
Unsupervised learning of hierarchical representations with convolutional deep belief networks
H Lee, R Grosse, R Ranganath, AY Ng
Communications of the ACM 54 (10), 95-103, 2011
5172011
Hierarchical variational models
R Ranganath, D Tran, D Blei
International conference on machine learning, 324-333, 2016
3782016
Backprop kf: Learning discriminative deterministic state estimators
T Haarnoja, A Ajay, S Levine, P Abbeel
Advances in neural information processing systems 29, 2016
357*2016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, D Blei
Advances in Neural Information Processing Systems 30, 2017
351*2017
A review of challenges and opportunities in machine learning for health
M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath
AMIA Summits on Translational Science Proceedings 2020, 191, 2020
3122020
Automatic variational inference in Stan
A Kucukelbir, R Ranganath, A Gelman, D Blei
Advances in neural information processing systems 28, 2015
3022015
Variational sequential monte carlo
C Naesseth, S Linderman, R Ranganath, D Blei
International conference on artificial intelligence and statistics, 968-977, 2018
2462018
Deep survival analysis
R Ranganath, A Perotte, N Elhadad, D Blei
Machine Learning for Healthcare Conference, 101-114, 2016
2332016
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
2022015
Support and invertibility in domain-invariant representations
FD Johansson, D Sontag, R Ranganath
arXiv preprint arXiv:1903.03448, 2019
1912019
The role of machine learning in clinical research: transforming the future of evidence generation
EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ...
Trials 22, 1-15, 2021
1802021
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems 30, 2017
1792017
Reproducibility in machine learning for health research: Still a ways to go
MBA McDermott, S Wang, N Marinsek, R Ranganath, L Foschini, ...
Science Translational Medicine 13 (586), eabb1655, 2021
1762021
Deep exponential families
R Ranganath, L Tang, L Charlin, D Blei
Artificial intelligence and statistics, 762-771, 2015
1592015
Offline rl without off-policy evaluation
D Brandfonbrener, W Whitney, R Ranganath, J Bruna
Advances in neural information processing systems 34, 4933-4946, 2021
1502021
Extracting social meaning: Identifying interactional style in spoken conversation
D Jurafsky, R Ranganath, D McFarland
Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009
1452009
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