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multimodal distribution

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markov chain monte carlo (11) diffusion model (6) generative model (6) variational inference (6) importance sampling (5) bayesian inference (5) posterior distribution (4) normalizing flow (3) variational autoencoder (3) generative adversarial network (3)

Papers

Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 Articulated Pose Estimation via Over-parametrization and Noise Projection RSS 2014 Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010