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Hao Wu
Hao Wu
Amazon Web Services (AWS)
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Structured Disentangled Representations
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
204*2019
Nested Variational Inference
H Zimmermann, H Wu, B Esmaeili, S Stites, JW van de Meent
Proceedings of the 35th Conference on Neural Information Processing Systems, 2021
232021
Learning Proposals for Probabilistic Programs with Inference Combinators
S Stites, H Zimmermann, H Wu, E Sennesh, JW van de Meent
Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, 2021
132021
Conjugate Energy-Based Models
H Wu, B Esmaeili, M Wick, JB Tristan, JW van de Meent
Proceedings of the 38th International Conference on Machine Learning, 2021
72021
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
H Wu, H Zimmermann, E Sennesh, TA Le, JW Van De Meent
Proceedings of the 37th International Conference on Machine Learning 119 …, 2020
72020
Gradient-free variational learning with conditional mixture networks
C Heins, H Wu, D Markovic, A Tschantz, J Beck, C Buckley
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024
12024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
E Sennesh, H Wu, T Salvatori
Proceedings of the 38th Conference on Neural Information Processing Systems, 2024
12024
Composing Modeling and Inference Operations with Probabilistic Program Combinators
E Sennesh, A Ścibior, H Wu, JW van de Meent
NeurIPS 2018 Workshop on Bayesian Nonparametrics, 2018
2018
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Articles 1–8