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proposal distribution

8 papers

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markov chain monte carlo (4) sequential monte carlo (3) neural network (2) adaptive sampling (2) bayesian inference (2) newton series expansion (1) locally-balanced proposal (1) inference network (1) metropolis-adjusted langevin (1) neural transducer (1)

Papers

Any-scale Balanced Samplers for Discrete Space ICLR 2023 Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023 Gradient-based Adaptive Markov Chain Monte Carlo NeurIPS 2019 Sample Adaptive MCMC NeurIPS 2019 Neural Particle Smoothing for Sampling from Conditional Sequence Models NAACL 2018 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 FastEx: Hash Clustering with Exponential Families NeurIPS 2012