Rajesh Ranganath
Rajesh Ranganath
Assistant Professor, NYU
Verified email at cs.princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
30372009
Black box variational inference
R Ranganath, S Gerrish, D Blei
Artificial intelligence and statistics, 814-822, 2014
8922014
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
4302017
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
4282011
Hierarchical variational models
R Ranganath, D Tran, D Blei
International Conference on Machine Learning, 324-333, 2016
2622016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1702.08896, 2017
255*2017
Backprop kf: Learning discriminative deterministic state estimators
T Haarnoja, A Ajay, S Levine, P Abbeel
Advances in neural information processing systems, 4376-4384, 2016
243*2016
Automatic variational inference in Stan
A Kucukelbir, R Ranganath, A Gelman, DM Blei
arXiv preprint arXiv:1506.03431, 2015
2122015
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K Huang, J Altosaar, R Ranganath
arXiv preprint arXiv:1904.05342, 2019
2102019
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
1552015
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
1552015
Variational sequential monte carlo
C Naesseth, S Linderman, R Ranganath, D Blei
International conference on artificial intelligence and statistics, 968-977, 2018
1512018
Deep survival analysis
R Ranganath, A Perotte, N Elhadad, D Blei
Machine Learning for Healthcare Conference, 101-114, 2016
1462016
Deep exponential families
R Ranganath, L Tang, L Charlin, D Blei
Artificial Intelligence and Statistics, 762-771, 2015
1422015
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
1182009
Variational Inference via -Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, DM Blei
arXiv preprint arXiv:1611.00328, 2016
1142016
Bayesian nonparametric poisson factorization for recommendation systems
P Gopalan, FJ Ruiz, R Ranganath, D Blei
Artificial Intelligence and Statistics, 275-283, 2014
1132014
An adaptive learning rate for stochastic variational inference
R Ranganath, C Wang, B David, E Xing
International Conference on Machine Learning, 298-306, 2013
1132013
Dynamic poisson factorization
L Charlin, R Ranganath, J McInerney, DM Blei
Proceedings of the 9th ACM Conference on Recommender Systems, 155-162, 2015
1072015
It’s not you, it’s me: Detecting flirting and its misperception in speed-dates
R Ranganath, D Jurafsky, D McFarland
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
1072009
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