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Adji Bousso Dieng
Adji Bousso Dieng
Assistant Professor of Computer Science, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
3082016
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
2332020
Topicrnn: A recurrent neural network with long-range semantic dependency
AB Dieng, C Wang, J Gao, J Paisley
International Conference on Learning Representations (ICLR 2017), 2016
2212016
Avoiding Latent Variable Collapse with Generative Skip Models
AB Dieng, Y Kim, AM Rush, D Blei
Proceedings of the 22 International Conference on Artificial Intelligence …, 2018
1452018
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems, 2732-2741, 2017
1362017
Readmission prediction via deep contextual embedding of clinical concepts
C Xiao, T Ma, AB Dieng, DM Blei, F Wang
PloS one 13 (4), e0195024, 2018
1002018
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
672019
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
502019
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
FJR Ruiz, MK Titsias, AB Dieng, DM Blei
International Conference on Machine Learning, 2018
262018
Noisin: Unbiased Regularization for Recurrent Neural Networks
AB Dieng, R Ranganath, J Altosaar, DM Blei
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
222018
Consistency regularization for variational auto-encoders
S Sinha, AB Dieng
Advances in Neural Information Processing Systems 34, 12943-12954, 2021
182021
Quantitative nanoinfrared spectroscopy of anisotropic van der Waals materials
FL Ruta, AJ Sternbach, AB Dieng, AS McLeod, DN Basov
Nano letters 20 (11), 7933-7940, 2020
162020
Reweighted Expectation Maximization
AB Dieng, J Paisley
arXiv preprint arXiv:1906.05850, 2019
122019
Edward: A library for probabilistic modeling, inference, and criticism, 2016
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
122016
The χ-Divergence for Approximate Inference
AB Dieng, D Tran, R Ranganath, J Paisley, DM Blei
Neural Information Processing Systems, 2017
92017
Edward: A library for probabilistic modeling, inference, and criticism. arXiv 2016
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
82016
Learning with reflective likelihoods
AB Dieng, K Cho, DM Blei, Y LeCun
22018
Deep Probabilistic Graphical Modeling
AB Dieng
Columbia University, 2020
12020
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
K Kim, J Oh, JR Gardner, AB Dieng, H Kim
arXiv preprint arXiv:2206.06295, 2022
2022
Learning From Data: The Two Cultures
AB Dieng
ACM TechTalks, 2021
2021
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