Co-occurring keywords · papers mentioning both
Papers
The Binary Space Partitioning-Tree Process
AISTATS 2018
Variational Sequential Monte Carlo
AISTATS 2018
A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data
IJCAI 2017
Computer Assisted Composition with Recurrent Neural Networks
ACML 2017
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes
JMLR 2017
On the Sampling Problem for Kernel Quadrature
ICML 2017
Sequential Graph Matching with Sequential Monte Carlo
AISTATS 2017
Inference Networks for Sequential Monte Carlo in Graphical Models
ICML 2016
Interacting Particle Markov Chain Monte Carlo
ICML 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
NeurIPS 2016
Nested Sequential Monte Carlo Methods
ICML 2015
Neural Adaptive Sequential Monte Carlo
NeurIPS 2015
Particle Gibbs for Infinite Hidden Markov Models
NeurIPS 2015
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches
CVPR 2015
A Compilation Target for Probabilistic Programming Languages
ICML 2014
Asynchronous Anytime Sequential Monte Carlo
NeurIPS 2014
Filtering with Abstract Particles
ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo
ICML 2014
Non-Parametric Bayesian Constrained Local Models
CVPR 2014
PAC-Bayesian AUC classification and scoring
NeurIPS 2014
Particle Gibbs with Ancestor Sampling
JMLR 2014
Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots
RSS 2014
Sequential Monte Carlo for Graphical Models
NeurIPS 2014
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo
ACML 2014
Variational Gaussian Process State-Space Models
NeurIPS 2014