Showing results 1 to 4 of 4
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Zhou, Yuan; Yang, Hongseok; Teh, Yee Whye; Rainforth, Tom, The 37th International Conference on Machine Learning (ICML 2020), pp.2127 - 2138, ICML Organisation, 2020-07-15 |
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models Zhou, Yuan; Gram-Hansen, Bradley; Kohn, Tobias; Rainforth, Tom; Yang, Hongseok; Wood, Frank, The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), pp.148 - 157, AISTATS 2019, 2019-04-16 |
On nesting Monte Carlo estimators Rainforth, Tom; Cornish, Robert; Yang, Hongseok; Warrington, Andrew; Wood, Frank, 35th International Conference on Machine Learning, ICML 2018, pp.6789 - 6817, International Machine Learning Society (IMLS), 2018-07-13 |
Probabilistic Programs with Stochastic Conditioning Tolpin, David; Zhou, Yuan; Rainforth, Tom; 양홍석, The 38th International Conference on Machine Learning (ICML 2021), pp.10312 - 10323, ICML Organisation, 2021-07-21 |
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