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ORCIDYuan Zhou 0013
Person information
- affiliation: University of Oxford, UK
Other persons with the same name
- Yuan Zhou — disambiguation page
- Yuan Zhou 0001
![[0000-0002-9198-6586]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9198-6586")
— Tsinghua University, School of Public Policy and Management, Beijing, China - Yuan Zhou 0002 — University of California Davis, Department of Electrical and Computer Engineering, Davis, CA, USA
- Yuan Zhou 0003 — University of South Florida, Department of Mathematics and Statistics, Tampa, FL, USA
- Yuan Zhou 0004 — University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
- Yuan Zhou 0005 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Yuan Zhou 0006 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Yuan Zhou 0007 — Tsinghua University, Yau Mathematical Sciences Center, Beijing, China (and 4 more)
- Yuan Zhou 0008 — Network Emergency Response Technical Team/Coordination Center, China
- Yuan Zhou 0009 — Chinese Academy of Sciences, Institute of Psychology, Beijing, China
- Yuan Zhou 0010 — University of Siegen, Germany
- Yuan Zhou 0011 — University of Texas at Dallas, Department of Electrical and Computer Engineering, Richardson, TX, USA
- Yuan Zhou 0012 — University of Illinois Urbana-Champaign, USA
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2020 – today
- 2021
[c3]David Tolpin, Yuan Zhou, Tom Rainforth, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. ICML 2021: 10312-10323- 2020
- [b1]Yuan Zhou:
Automating inference for non-standard models. University of Oxford, UK, 2020 - [c2]Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth:
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support. ICML 2020: 11534-11545 - [i7]David Tolpin, Yuan Zhou, Hongseok Yang:
Stochastically Differentiable Probabilistic Programs. CoRR abs/2003.00704 (2020) - [i6]David Tolpin, Yuan Zhou, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. CoRR abs/2010.00282 (2020) - [i5]David Tolpin, Yuan Zhou, Hongseok Yang:
Bayesian Policy Search for Stochastic Domains. CoRR abs/2010.00284 (2020)
2010 – 2019
- 2019
- [c1]Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood:
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. AISTATS 2019: 148-157 - [i4]Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood:
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. CoRR abs/1903.02482 (2019) - [i3]Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth:
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support. CoRR abs/1910.13324 (2019) - 2018
- [i2]Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Hongseok Yang, Frank D. Wood:
Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs. CoRR abs/1804.03523 (2018) - [i1]Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh:
On Exploration, Exploitation and Learning in Adaptive Importance Sampling. CoRR abs/1810.13296 (2018)
Coauthor Index
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