Hao Wu

According to our database, Hao Wu authored at least 7 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Learning proposals for probabilistic programs with inference combinators.

Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Nested Variational Inference.

Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conjugate Energy-Based Models.

Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Amortized Population Gibbs Samplers with Neural Sufficient Statistics.

Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Structured Disentangled Representations.

Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Composing Modeling and Inference Operations with Probabilistic Program Combinators.

Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent

CoRR, 2018

Hierarchical Disentangled Representations.

Babak Esmaeili, Hao Wu, Sarthak Jain, N. Siddharth, Brooks Paige, Jan-Willem van de Meent

CoRR, 2018