On the Pitfalls of Nested Monte Carlo
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Frank D. Wood | Hongseok Yang | Tom Rainforth | Frank Wood | Robert Cornish | Hongseok Yang | Tom Rainforth | R. Cornish
[1] Fredrik Lindsten,et al. Interacting Particle Markov Chain Monte Carlo , 2016, ICML.
[2] A. Pfeffer,et al. Figaro : An Object-Oriented Probabilistic Programming Language , 2009 .
[3] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[4] Joshua B. Tenenbaum,et al. Church: a language for generative models , 2008, UAI.
[5] C. Andrieu,et al. Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms , 2012, 1210.1484.
[6] Miss A.O. Penney. (b) , 1974, The New Yale Book of Quotations.
[7] Noah D. Goodman,et al. Practical optimal experiment design with probabilistic programs , 2016, ArXiv.
[8] W. Gilks. Markov Chain Monte Carlo , 2005 .
[9] D. Balding,et al. Approximate Bayesian computation in population genetics. , 2002, Genetics.
[10] Yves F. Atchad'e,et al. On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods , 2013, 1306.4032.
[11] Yura N. Perov,et al. Venture: a higher-order probabilistic programming platform with programmable inference , 2014, ArXiv.
[12] Daniel M. Roy,et al. CONVERGENCE OF SEQUENTIAL MONTE CARLO-BASED SAMPLING METHODS , 2015 .
[13] Fredrik Lindsten,et al. Pseudo-Marginal Hamiltonian Monte Carlo , 2016, J. Mach. Learn. Res..
[14] Frank D. Wood,et al. A Compilation Target for Probabilistic Programming Languages , 2014, ICML.
[15] Frank D. Wood,et al. Bayesian Optimization for Probabilistic Programs , 2017, NIPS.
[16] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[17] Frank D. Wood,et al. A New Approach to Probabilistic Programming Inference , 2014, AISTATS.
[18] C. Andrieu,et al. The pseudo-marginal approach for efficient Monte Carlo computations , 2009, 0903.5480.
[19] Zoubin Ghahramani,et al. MCMC for Doubly-intractable Distributions , 2006, UAI.
[20] O. François,et al. Approximate Bayesian Computation (ABC) in practice. , 2010, Trends in ecology & evolution.
[21] Michael A. Osborne,et al. Probabilistic Integration: A Role for Statisticians in Numerical Analysis? , 2015 .
[22] A. Doucet,et al. Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator , 2012, 1210.1871.
[23] A. Doucet,et al. The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method , 2015, 1510.02451.