conftrace_

sequential monte carlo

90 papers

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Also known as

SMC

Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) particle filter (86) particle filtering (28) state-space model (153) importance sampling (318) probabilistic programming (87) probabilistic inference (312) state space model (390)

Papers

Annealed Flow Transport Monte Carlo ICML 2021
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021
Sequential core-set Monte Carlo UAI 2021
q-Paths: Generalizing the geometric annealing path using power means UAI 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Multiplicative Gaussian Particle Filter AISTATS 2020
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020
Online Bayesian Goal Inference for Boundedly Rational Planning Agents NIPS 2020
Parameter elimination in particle Gibbs sampling NIPS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Bernoulli Race Particle Filters AISTATS 2019
Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal EMNLP 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Write, Execute, Assess: Program Synthesis with a REPL NIPS 2019
Replica Conditional Sequential Monte Carlo ICML 2019
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal IJCNLP 2019
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Random Tessellation Forests NIPS 2019
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NIPS 2018