A Poisson process model for Monte Carlo

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A Poisson process model for Monte Carlo

18 February 2016

Chris J. Maddison

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Papers citing "A Poisson process model for Monte Carlo"

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Title
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 49 1 0 20 May 2024
Properties of the Concrete distribution D. D. Chow 54 0 0 02 Nov 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 101 82 0 17 Jun 2022
Learning Generalized Gumbel-max Causal Mechanisms Guy Lorberbom Daniel D. Johnson Chris J. Maddison Daniel Tarlow Tamir Hazan CML 72 20 0 11 Nov 2021
Algorithms for the Communication of Samples Lucas Theis Noureldin Yosri 107 43 0 25 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 98 0 04 Oct 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 102 42 0 09 Oct 2020
Lost Relatives of the Gumbel Trick Matej Balog Nilesh Tripuraneni Zoubin Ghahramani Adrian Weller 90 27 0 13 Jun 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 218 2,542 0 02 Nov 2016