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Stein variational gradient descent (SVGD) is a deterministic sampling algorithm that iteratively transports a set of particles to approximate given distributions, based on an efficient gradient-based update that guarantees to optimally decrease the KL divergence within a function space.
On vibration properties of electron gas
A. A. Vlasov · 1938
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On vibration properties of electron gas
A. A. Vlasov · 1938
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The Vlasov dynamics and its fluctuations in the 1/n limit of interacting classical particles
W. Braun and K. Hepp · 1977
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The Vlasov dynamics and its fluctuations in the 1/n limit of interacting classical particles
W. Braun and K. Hepp · 1977
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Approximate computation of expectations
C. Stein · 1986
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Approximate computation of expectations
C. Stein · 1986
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The geometry of dissipative evolution equations: the porous medium equation
F. Otto · 2001
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The geometry of dissipative evolution equations: the porous medium equation
F. Otto · 2001
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Graphical models, exponential families, and variational inference
M. J. Wainwright, M. I. Jordan, et al · 2008
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Optimal transport: old and new , volume 338
C. Villani · 2008
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Graphical models, exponential families, and variational inference
M. J. Wainwright, M. I. Jordan, et al · 2008
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Optimal transport: old and new , volume 338
C. Villani · 2008
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Super-samples from kernel herding
Y. Chen, M. Welling, and A. Smola · 2010
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Super-samples from kernel herding
Y. Chen, M. Welling, and A. Smola · 2010
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Reproducing kernel Hilbert spaces in probability and statistics
A. Berlinet and C. Thomas-Agnan · 2011
Cited alongside, same era.
Reproducing kernel Hilbert spaces in probability and statistics
A. Berlinet and C. Thomas-Agnan · 2011
Cited alongside, same era.
Large scale dynamics of interacting particles
H. Spohn · 2012
Cited alongside, same era.
Large scale dynamics of interacting particles
H. Spohn · 2012
Cited alongside, same era.
High-dimensional integration: the quasi-monte carlo way
J. Dick, F. Y. Kuo, and I. H. Sloan · 2013
Cited alongside, same era.
Mean field simulation for Monte Carlo integration
P. Del Moral · 2013
Cited alongside, same era.
A kernel test of goodness-of-fit
K. Chwialkowski, H. Strathmann, and A. Gretton · 2016
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Convergence rates for a class of estimators based on Stein’s identity
C. J. Oates, J. Cockayne, F.-X. Briol, and M. Girolami · 2016
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Stein variational gradient descent: A general purpose bayesian inference algorithm
Q. Liu and D. Wang · 2016
Later among the works it cites.
Provable Bayesian inference via particle mirror descent
B. Dai, N. He, H. Dai, and L. Song · 2016
Later among the works it cites.
A kernelized Stein discrepancy for goodness-of-fit tests and model evaluation
Q. Liu, J. D. Lee, and M. I. Jordan · 2016
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A kernel test of goodness-of-fit
K. Chwialkowski, H. Strathmann, and A. Gretton · 2016
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J. Dick, F. Y. Kuo, and I. H. Sloan · 2013
Cited alongside, same era.
Mean field simulation for Monte Carlo integration
P. Del Moral · 2013
Cited alongside, same era.
Notes on partial differential equations
J. K. Hunter · 2014
Cited alongside, same era.
Notes on partial differential equations
J. K. Hunter · 2014
Cited alongside, same era.
Stein variational gradient descent: A general purpose bayesian inference algorithm
Q. Liu and D. Wang · 2016
Cited alongside, same era.
Provable Bayesian inference via particle mirror descent
B. Dai, N. He, H. Dai, and L. Song · 2016
Cited alongside, same era.
Later among the works it cites.
Convergence rates for a class of estimators based on Stein’s identity
C. J. Oates, J. Cockayne, F.-X. Briol, and M. Girolami · 2016
Later among the works it cites.
Control functionals for Monte Carlo integration
C. J. Oates, M. Girolami, and N. Chopin · 2017
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Measuring sample quality with kernels
J. Gorham and L. Mackey · 2017
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Stein variational adaptive importance sampling
J. Han and Q. Liu · 2017
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Control functionals for Monte Carlo integration
C. J. Oates, M. Girolami, and N. Chopin · 2017
Closest in time.
Measuring sample quality with kernels
J. Gorham and L. Mackey · 2017
Closest in time.
Stein variational adaptive importance sampling
J. Han and Q. Liu · 2017
Closest in time.