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Dive into the research topics where Tom Rainforth is active.

Publication


Featured researches published by Tom Rainforth.


international conference on learning representations | 2018

Auto-Encoding Sequential Monte Carlo

Tuan Anh Le; Maximilian Igl; Tom Rainforth; Tom Jin; Frank D. Wood


neural information processing systems | 2016

Bayesian Optimization for Probabilistic Programs

Tom Rainforth; Tuan Anh Le; Jan-Willem van de Meent; Michael A. Osborne; Frank D. Wood


arXiv: Machine Learning | 2015

Canonical Correlation Forests.

Tom Rainforth; Frank D. Wood


international conference on machine learning | 2016

Interacting particle Markov chain Monte Carlo

Tom Rainforth; Christian A. Naesseth; Fredrik Lindsten; Brooks Paige; Jan-Willem van de Meent; Arnaud Doucet; Frank D. Wood


arXiv: Computation | 2016

On the Pitfalls of Nested Monte Carlo

Tom Rainforth; Robert Cornish; Hongseok Yang; Frank D. Wood


international conference on machine learning | 2018

Tighter Variational Bounds are Not Necessarily Better

Tom Rainforth; Adam R. Kosiorek; Tuan Anh Le; Chris J. Maddison; Maximilian Igl; Frank D. Wood; Yee Whye Teh


uncertainty in artificial intelligence | 2018

Nesting Probabilistic Programs

Tom Rainforth


arXiv: Computation | 2017

On the Opportunities and Pitfalls of Nesting Monte Carlo Estimators

Tom Rainforth; Robert Cornish; Hongseok Yang; Andrew Warrington; Frank D. Wood


international conference on machine learning | 2018

On Nesting Monte Carlo Estimators

Tom Rainforth; Robert Cornish; Hongseok Yang; Andrew Warrington; Frank D. Wood


neural information processing systems | 2018

Faithful Inversion of Generative Models for Effective Amortized Inference

Stefan Webb; Adam Golinski; Rob Zinkov; Siddharth Narayanaswamy; Tom Rainforth; Yee Whye Teh; Frank Wood

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