Auto-encoding sequential Monte Carlo

Auto-encoding sequential Monte Carlo

We build on auto-encoding sequential Monte Carlo (AESMC): a method for model and proposal learning based on maximizing the lower bound to the log marginal likelihood in a broad family of structured probabilistic models. Our approach relies on the efficiency of sequential Monte Carlo (SMC) for perfor...

Bibliográfalaš dieđut
Váldodahkkit:	Le, T, Igl, M, Rainforth, T, Jin, T, Wood, F
Materiálatiipa:	Conference item
Almmustuhtton:	OpenReview 2018

Geahča maid

Monte Carlo variational auto-encoders
Dahkki: Thin, A, et al.
Almmustuhtton: (2021)

Amortized Monte Carlo integration
Dahkki: Goliński, A, et al.
Almmustuhtton: (2019)

On nesting Monte Carlo estimators
Dahkki: Rainforth, T, et al.
Almmustuhtton: (2019)

Sequential Monte Carlo with transformations
Dahkki: Everitt, RG, et al.
Almmustuhtton: (2019)

Sequential Monte Carlo samplers
Dahkki: Del Moral, P, et al.
Almmustuhtton: (2006)

Controlled sequential Monte Carlo
Dahkki: Heng, J, et al.
Almmustuhtton: (2020)

Kernel sequential Monte Carlo
Dahkki: Schuster, I, et al.
Almmustuhtton: (2017)

Sequential Monte Carlo in sequence
Dahkki: Nur Nabihah Rusyda, Roslan, et al.
Almmustuhtton: (2022)

Interacting particle Markov chain Monte Carlo
Dahkki: Doucet, A, et al.
Almmustuhtton: (2016)

Sequential Monte Carlo methods for diffusion processes
Dahkki: Jasra, A, et al.
Almmustuhtton: (2009)

Efficient Sequential Monte Carlo Using Interpolation
Dahkki: Hover, Franz S.
Almmustuhtton: (2010)

Sequential Monte Carlo methods for demographic inference
Dahkki: Henderson, D
Almmustuhtton: (2017)

Parameter estimation using sequential monte carlo /
Dahkki: Mohd. Fariduddin Mukhtar, 1987-, et al.
Almmustuhtton: (2012)

Sequential Monte Carlo with highly informative observations
Dahkki: Del Moral, P, et al.
Almmustuhtton: (2015)

Sequential Monte Carlo-guided ensemble tracking.
Dahkki: Yuru Wang, et al.
Almmustuhtton: (2017-01-01)

Online sequential Monte Carlo smoother for partially observed diffusion processes
Dahkki: Pierre Gloaguen, et al.
Almmustuhtton: (2018-02-01)

An information-theoretic analysis of resampling in Sequential Monte Carlo
Dahkki: Huggins, Jonathan H. (Jonathan Hunter)
Almmustuhtton: (2014)

On sequential Monte Carlo sampling methods for Bayesian filtering
Dahkki: Doucet, A, et al.
Almmustuhtton: (2000)

Fast sequential Monte Carlo methods for counting and optimization /
Dahkki: Rubinstein, Reuven Y., author, et al.
Almmustuhtton: (2014)

SEQUENTIALLY INTERACTING MARKOV CHAIN MONTE CARLO METHODS
Dahkki: Brockwell, A, et al.
Almmustuhtton: (2010)

On adaptive resampling strategies for sequential Monte Carlo methods
Dahkki: Del Moral, P, et al.
Almmustuhtton: (2012)

vSMC: Parallel Sequential Monte Carlo in C++
Dahkki: Yan Zhou
Almmustuhtton: (2015-01-01)

Sequential monte carlo methods To train neural network models
Dahkki: , d, et al.
Almmustuhtton: (2000)

Efficient block sampling strategies for sequential Monte Carlo methods
Dahkki: Doucet, A, et al.
Almmustuhtton: (2006)

Sequential Monte Carlo Methods to Train Neural Network Models
Dahkki: Freitas, D, et al.
Almmustuhtton: (2000)

Interacting sequential Monte Carlo samplers for trans-dimensional simulation
Dahkki: Jasra, A, et al.
Almmustuhtton: (2008)

Sequential monte carlo techniques for EEG dipole placing and tracking
Dahkki: Mohseni, H, et al.
Almmustuhtton: (2008)

Sequential Monte Carlo for model selection and estimation of neural networks
Dahkki: Andrieu, C, et al.
Almmustuhtton: (2000)

An adaptive sequential Monte Carlo method for approximate Bayesian computation
Dahkki: Del Moral, P, et al.
Almmustuhtton: (2011)

An adaptive sequential Monte Carlo method for approximate Bayesian computation
Dahkki: Del Moral, P, et al.
Almmustuhtton: (2012)

Parameter estimation using sequential monte carlo [electronic resource] /
Dahkki: Mohd. Fariduddin Mukhtar, 1987-
Almmustuhtton: (2012)

Evolutionary Sequential Monte Carlo Samplers for Change-Point Models
Dahkki: Arnaud Dufays
Almmustuhtton: (2016-03-01)

A sequential Monte Carlo approach to gene expression deconvolution.
Dahkki: Oyetunji E Ogundijo, et al.
Almmustuhtton: (2017-01-01)

Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals
Dahkki: Marzouk, Youssef M
Almmustuhtton: (2020)

Stability of sequential Monte Carlo samplers via the Foster-Lyapunov condition
Dahkki: Jasra, A, et al.
Almmustuhtton: (2008)

Sequential Monte Carlo tracking schemes for maneuvering targets with passive ranging
Dahkki: Malcolm, W, et al.
Almmustuhtton: (2002)

Sequential Monte Carlo implementation of the PHD filter for multi-target tracking
Dahkki: Vo, B, et al.
Almmustuhtton: (2003)

Stability of sequential Monte Carlo samplers via the Foster-Lyapunov condition
Dahkki: Jasra, A, et al.
Almmustuhtton: (2008)

Multifidelity approximate Bayesian computation with sequential Monte Carlo parameter sampling
Dahkki: Prescott, TP, et al.
Almmustuhtton: (2021)

Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods
Dahkki: Dr Conor Rosato
Almmustuhtton: (2025-03-01)