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We propose a novel adaptive importance sampling algorithm which incorporates Stein variational gradient decent algorithm (SVGD) with importance sampling (IS).
The Vlasov dynamics and its fluctuations in the 1/n limit of interacting classical particles
Braun, W and Hepp, K · 1977
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Topics in propagation of chaos
Sznitman, Alain-Sol · 1991
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Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
Gelman, Andrew and Meng, Xiao-Li · 1998
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Propagation of chaos and fluctuations for a moderate model with smooth initial data
Jourdain, B and Méléard, S · 1998
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Annealed importance sampling
Neal, Radford M · 2001
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Exponential family harmoniums with an application to information retrieval
Welling, Max, Rosen-Zvi, Michal, and Hinton, Geoffrey E · 2004
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Reducing the dimensionality of data with neural networks
Hinton, Geoffrey E and Salakhutdinov, Ruslan R · 2006
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Adaptive importance sampling in general mixture classes
Cappé, Olivier, Douc, Randal, Guillin, Arnaud, Marin, Jean-Michel, and Robert, Christian P · 2008
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A fast, consistent kernel two-sample test
Gretton, Arthur, Fukumizu, Kenji, Harchaoui, Zaid, and Sriperumbudur, Bharath K · 2009
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Reproducing kernel Hilbert spaces in probability and statistics
Berlinet, Alain and Thomas-Agnan, Christine · 2011
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Hamiltonian annealed importance sampling for partition function estimation
Sohl-Dickstein, Jascha and Culpepper, Benjamin J · 2012
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Large scale dynamics of interacting particles
Spohn, Herbert · 2012
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Mean field simulation for Monte Carlo integration
Del Moral, Pierre · 2013
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Stochastic variational inference
Hoffman, Matthew D, Blei, David M, Wang, Chong, and Paisley, John William · 2013
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Auto-encoding variational Bayes
Kingma, Diederik P and Welling, Max · 2013
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Adaptive importance sampling via stochastic convex programming
Deep residual learning for image recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2016
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Improved variational inference with inverse autoregressive flow
Kingma, Diederik P, Salimans, Tim, Jozefowicz, Rafal, Chen, Xi, Sutskever, Ilya, and Welling, Max · 2016
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Stein variational gradient descent: A general purpose Bayesian inference algorithm
Liu, Qiang and Wang, Dilin · 2016
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A kernelized Stein discrepancy for goodness-of-fit tests
Liu, Qiang, Lee, Jason D, and Jordan, Michael I · 2016
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An introduction to sampling via measure transport
Marzouk, Youssef, Moselhy, Tarek, Parno, Matthew, and Spantini, Alessio · 2016
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Control functionals for Monte Carlo integration
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Ryu, Ernest K and Boyd, Stephen P · 2014
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Parallel adaptive importance sampling
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Rezende, Danilo and Mohamed, Shakir · 2015
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On the quantitative analysis of decoder-based generative models
Wu, Yuhuai, Burda, Yuri, Salakhutdinov, Ruslan, and Grosse, Roger · 2016
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Stein variational gradient descent as gradient flow
Liu, Qiang · 2017
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Inference via low-dimensional couplings
Spantini, Alessio, Bigoni, Daniele, and Marzouk, Youssef · 2017
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