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multimodal posterior

10 papers

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Co-occurring keywords · papers mentioning both

posterior distribution (3) markov chain monte carlo (3) bayesian inference (3) variational inference (3) tempered distribution (1) multimodal prediction (1) implicit distribution (1) reparameterization trick (1) deep gaussian process (1) stochastic gradient hamiltonian monte carlo (1)

Papers

On cyclical MCMC sampling AISTATS 2024 Implicit Variational Inference for High-Dimensional Posteriors NeurIPS 2023 Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022 Automatic Differentiation Variational Inference with Mixtures AISTATS 2021 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? ICLR 2021 Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning ICLR 2020 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction CoRL 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018