Spremljaj
Rajesh Ranganath
Rajesh Ranganath
Assistant Professor, NYU
Preverjeni e-poštni naslov na cs.princeton.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
34332009
Black box variational inference
R Ranganath, S Gerrish, D Blei
Artificial intelligence and statistics, 814-822, 2014
13012014
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
Journal of machine learning research 18 (14), 1-45, 2017
8362017
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K Huang, J Altosaar, R Ranganath
arXiv preprint arXiv:1904.05342, 2019
7902019
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
5082011
Hierarchical variational models
R Ranganath, D Tran, D Blei
International conference on machine learning, 324-333, 2016
3682016
Backprop kf: Learning discriminative deterministic state estimators
T Haarnoja, A Ajay, S Levine, P Abbeel
Advances in neural information processing systems 29, 2016
353*2016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, D Blei
Advances in Neural Information Processing Systems 30, 2017
343*2017
Automatic variational inference in Stan
A Kucukelbir, R Ranganath, A Gelman, D Blei
Advances in neural information processing systems 28, 2015
2992015
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
2882020
Variational sequential monte carlo
C Naesseth, S Linderman, R Ranganath, D Blei
International conference on artificial intelligence and statistics, 968-977, 2018
2402018
Deep survival analysis
R Ranganath, A Perotte, N Elhadad, D Blei
Machine Learning for Healthcare Conference, 101-114, 2016
2302016
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
2002015
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
2002015
Support and invertibility in domain-invariant representations
FD Johansson, D Sontag, R Ranganath
arXiv preprint arXiv:1903.03448, 2019
1872019
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems 30, 2017
1762017
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
1652021
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
1612021
Deep exponential families
R Ranganath, L Tang, L Charlin, D Blei
Artificial intelligence and statistics, 762-771, 2015
1572015
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
1432009
Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.
Članki 1–20