Yuan Zhou

According to our database, Yuan Zhou authored at least 9 papers between 2018 and 2021.

Collaborative distances:

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

2021

Probabilistic Programs with Stochastic Conditioning.

David Tolpin, Yuan Zhou, Tom Rainforth, Hongseok Yang

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

2020

Automating inference for non-standard models.

Yuan Zhou

PhD thesis, 2020

Bayesian Policy Search for Stochastic Domains.

David Tolpin, Yuan Zhou, Hongseok Yang

CoRR, 2020

Probabilistic Programs with Stochastic Conditioning.

David Tolpin, Yuan Zhou, Hongseok Yang

CoRR, 2020

Stochastically Differentiable Probabilistic Programs.

David Tolpin, Yuan Zhou, Hongseok Yang

CoRR, 2020

Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support.

Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth

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

2019

LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models.

Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood

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

2018

On Exploration, Exploitation and Learning in Adaptive Importance Sampling.

Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh

CoRR, 2018

Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs.

Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Hongseok Yang, Frank D. Wood

CoRR, 2018